listen O
to O
westbam B-artist
alumb O
allergic B-album
on O
google B-service
music I-service

please O
add O
iris B-artist
dement I-artist
to O
my B-playlist_owner
playlist O
this B-playlist
is I-playlist
selena I-playlist

add O
slimm B-artist
cutta I-artist
calhoun I-artist
to O
my B-playlist_owner
this B-playlist
is I-playlist
prince I-playlist
playlist O

play O
a O
popular B-sort
chant B-music_item
by O
brian B-artist
epstein I-artist

can O
you O
play O
me O
some O
eighties B-year
music O
by O
adele B-artist

play O
the O
top-20 B-sort
best I-sort
chicane B-artist
songs O
on O
deezer B-service

play O
a O
chant B-music_item
by O
mj B-artist
cole I-artist

play O
all B-track
of I-track
your I-track
toys I-track
by O
chris B-artist
ledoux I-artist

i O
want O
to O
hear O
a O
joel B-artist
hastings I-artist
melody B-music_item

play O
theme B-music_item
by O
yanni B-artist
on O
vimeo B-service

can O
you O
pull O
up O
a O
track B-music_item
on O
zvooq B-service
by O
graham B-artist
mcpherson I-artist

put O
playa B-artist
fly I-artist
onto O
my B-playlist_owner
2010 B-playlist
decade I-playlist
playlist O

add O
bret B-artist
mckenzie I-artist
to O
my B-playlist_owner
pop B-playlist
commute I-playlist
playlist O

i O
d O
like O
johnny B-artist
nash I-artist
to O
be O
put O
into O
my B-playlist_owner
playlist O
always B-playlist
pop I-playlist
punk I-playlist

play O
caitlin B-artist
cary I-artist
from O
the O
fourties B-year

play O
rap B-album
album I-album
one I-album
by O
gene B-artist
vincent I-artist

add O
rosemary B-artist
clooney I-artist
to O
pura B-playlist
vida I-playlist
playlist O

play O
a O
scott B-artist
lafaro I-artist
soundtrack B-music_item

play O
lorenzo B-artist
palacios I-artist
quispe I-artist

include O
laarni B-artist
lozada I-artist
on O
endorphin B-playlist
rush I-playlist
playlist O

play O
takes B-album
place I-album
in I-album
your I-album
work I-album
space I-album
by O
eddie B-artist
kendricks I-artist

play O
inventions B-album
for I-album
the I-album
new I-album
season I-album

i O
want O
to O
hear O
secrets B-album
on I-album
parade I-album
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tommy B-artist
walter I-artist

play O
russell B-artist
morris I-artist
s O
the B-album
singer I-album
and I-album
the I-album
song I-album
on O
netflix B-service

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want O
to O
listen O
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the O
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to I-album
the I-album
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mountains I-album
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iheart B-service

let O
me O
listen O
to O
the B-album
music I-album
of I-album
nature I-album
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paul B-artist
draper I-artist

play O
fill B-album
yourself I-album
with I-album
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by O
ray B-artist
manzarek I-artist

play O
the O
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qr B-album
iii I-album
by O
bobby B-artist
bare I-artist

i O
want O
to O
listen O
to O
speed B-album
metal I-album
symphony I-album

play O
isaac B-artist
yamma I-artist
slut B-album

play O
the O
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wayning B-album
moments I-album
by O
rabbit B-artist
brown I-artist

play O
music O
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of I-album
a I-album
man I-album
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joey B-artist
ramone I-artist

play O
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pauvres I-album
riches I-album
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pan B-artist
mei I-artist
chen I-artist

play O
that B-album
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fellow I-album
by O
michael B-artist
amott I-artist

play O
kim B-album
wilde I-album
by O
mike B-artist
scott I-artist
on O
slacker B-service

play O
tuomas B-artist
holopainen I-artist
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the B-album
21 I-album
project I-album

play O
some O
annie B-artist
herring I-artist
beat B-album
street I-album
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itunes B-service

play O
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your I-album
game I-album
by O
marc B-artist
cohn I-artist

play O
the B-album
eternal I-album
by O
juju B-artist
mob I-artist
on O
vimeo B-service

play O
yuauea B-album
by O
rick B-artist
ross I-artist

play O
techno B-genre
on O
lastfm B-service

play O
iheart B-service

i O
want O
to O
listen O
to O
swing B-genre
music O
on O
iheart B-service

use O
netflix B-service
to O
play O
music O

play O
music O
on O
groove B-service
shark I-service

can O
you O
play O
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1966 B-year
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mc B-artist
ren I-artist
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spotify B-service

play O
some O
1993 B-year
concerto B-music_item
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slacker B-service

play O
the O
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slacker B-service

play O
twenties B-year
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off O
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my O
itunes B-service

play O
the O
concert O
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philip B-artist
oakey I-artist
1973 B-year
concert O
on O
netflix B-service

play O
lastfm B-service
pop B-genre
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use O
netflix B-service
to O
play O
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white I-artist
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1955 B-year

give O
me O
some O
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1975 B-year
on O
lastfm B-service

play O
portsmouth B-track
by O
paul B-artist
smith I-artist
on O
google B-service
music I-service

play O
a O
seventies B-year
ballad B-music_item
by O
annunzio B-artist
paolo I-artist
mantovani I-artist
on O
groove B-service
shark I-service

can O
you O
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soundtrack B-music_item
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david B-artist
sitek I-artist

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zvooq B-service
and O
play O
the O
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device B-artist

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some O
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netflix B-service

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the O
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record B-music_item
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sophisticated B-playlist
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playlist O
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slacker B-service

add O
step B-entity_name
to I-entity_name
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santa I-entity_name
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days I-entity_name
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list O
your B-playlist
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manuelita B-entity_name
to O
my B-playlist_owner
indiespensables B-playlist
playlist O

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my B-playlist_owner
playlist O
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classic B-playlist
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metal B-playlist
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onto O
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workout B-playlist
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global B-playlist
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playlist O
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rate O
the O
current B-object_select
novel B-object_type
zero B-rating_value
points B-rating_unit

rate O
the B-object_name
firebrand I-object_name
one B-rating_value
of O
6 B-best_rating
stars B-rating_unit

rate O
the B-object_name
travels I-object_name
of I-object_name
lao I-object_name
can I-object_name
five B-rating_value
out O
of O
6 B-best_rating

i O
give O
this O
current B-object_select
novel B-object_type
zero B-rating_value
stars B-rating_unit
and O
a O
best O
rating O
of O
6 B-best_rating

give O
5 B-rating_value
out O
of O
6 B-best_rating
points B-rating_unit
to O
racing B-object_name
the I-object_name
rain I-object_name

rate O
this B-object_select
current I-object_select
essay B-object_type
four B-rating_value
out O
of O
6 B-best_rating

i O
would O
give O
the B-object_name
call I-object_name
of I-object_name
the I-object_name
toad I-object_name
a O
value O
of O
zero B-rating_value
and O
a O
best O
rating O
of O
6 B-best_rating

rate O
gilgamesh B-object_name
the I-object_name
king I-object_name
5 B-rating_value
out O
of O
6 B-best_rating

not B-object_name
yet: I-object_name
a I-object_name
memoir I-object_name
of I-object_name
living I-object_name
and I-object_name
almost I-object_name
dying I-object_name
was O
one B-rating_value
out O
of O
6 B-best_rating
stars B-rating_unit

give O
waiting B-object_name
for I-object_name
the I-object_name
mahatma I-object_name
5 B-rating_value
out O
of O
6 B-best_rating
points B-rating_unit

freud: B-object_name
the I-object_name
mind I-object_name
of I-object_name
the I-object_name
moralist I-object_name
should O
be O
rated O
2 B-rating_value
stars B-rating_unit
with O
a O
best O
rating O
of O
6 B-best_rating

this B-object_select
chronicle B-object_part_of_series_type
is O
a O
zero B-rating_value
out O
of O
6 B-best_rating

rate O
the B-object_name
best I-object_name
american I-object_name
short I-object_name
stories I-object_name
2007 I-object_name
one B-rating_value
out O
of O
6 B-best_rating
points B-rating_unit

i O
give O
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during I-object_name
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a O
one B-rating_value
out O
of O
6 B-best_rating

i O
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give O
this O
current B-object_select
book B-object_type
a O
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a O
five B-rating_value
and O
a O
best O
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of O
6 B-best_rating

give O
1 B-rating_value
out O
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6 B-best_rating
to O
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of I-object_name
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rate O
the B-object_name
rats I-object_name
chronicle B-object_part_of_series_type
5 B-rating_value
of O
6 B-best_rating

i O
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giving O
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current B-object_select
essay B-object_type
zero B-rating_value
out O
of O
6 B-best_rating
stars B-rating_unit

i O
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to O
give O
this B-object_select
essay B-object_type
zero B-rating_value
out O
of O
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give O
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resistance I-object_name
2 B-rating_value
out O
of O
6 B-best_rating
stars B-rating_unit

give O
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to O
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of I-object_name
certainty I-object_name

give O
the O
current B-object_select
album B-object_type
a O
score O
of O
five B-rating_value
out O
of O
6 B-best_rating

i O
rate O
this B-object_select
novel B-object_type
2 B-rating_value
of O
6 B-best_rating
points B-rating_unit

the O
boring O
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on I-object_name
earth I-object_name
gets O
a O
two B-rating_value
out O
of O
6 B-best_rating

i O
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give O
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man I-object_name
falling I-object_name
5 B-rating_value
points B-rating_unit
and O
a O
best O
rating O
of O
6 B-best_rating

play O
the O
song B-music_item
little B-track
robin I-track
redbreast I-track

play O
top-twenty B-sort
song B-music_item
from O
2015 B-year

play O
me O
a O
song B-music_item
by O
michael B-artist
diamond I-artist

play O
the O
song B-music_item
jingle B-track
bells I-track

add O
matthew B-artist
helders I-artist
artist B-music_item
in O
showstopper B-playlist
being I-playlist
mary I-playlist
jane I-playlist

play O
a O
twenties B-year
tune B-music_item
by O
jodie B-artist
aysha I-artist

add O
this O
track B-music_item
to O
new B-playlist
hip I-playlist
hop I-playlist

add O
a O
track B-music_item
to O
my B-playlist_owner
classical B-playlist
feast I-playlist
playlist O

add O
a O
kj B-artist
52 I-artist
track B-music_item
to O
the O
te B-playlist
quiero I-playlist
playlist O

add O
the O
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bunny I-artist
album B-music_item
to O
décadas B-playlist

play O
a O
sound B-music_item
track I-music_item
by O
tom B-artist
thacker I-artist

add O
a O
tune B-music_item
to O
my B-playlist_owner
this B-playlist
is I-playlist
marc I-playlist
anthony I-playlist
playlist O

can O
you O
put O
this O
track B-music_item
onto O
the O
playlist O
the B-playlist
selektor I-playlist

add O
tune B-music_item
to O
my B-playlist_owner
this B-playlist
is I-playlist
animal I-playlist
collective I-playlist

play O
any O
song B-music_item
from O
the O
eighties B-year

add O
a O
tom B-artist
thacker I-artist
tune B-music_item
to O
my B-playlist_owner
rock B-playlist
classics I-playlist

add O
this O
song B-music_item
to O
my B-playlist_owner
crossroad B-playlist
blues I-playlist
playlist O

add O
an O
artist B-music_item
to O
the O
décadas B-playlist
playlist O

add O
this O
tune B-music_item
by O
harry B-artist
connick I-artist
jr I-artist
to O
my B-playlist_owner
jazz B-playlist
brasileiro I-playlist
playlist O

add O
this O
song B-music_item
to O
my B-playlist_owner
list O
called O
the B-playlist
birth I-playlist
of I-playlist
cool I-playlist

play O
the B-track
happiest I-track
days I-track
of I-track
our I-track
lives I-track
by O
tommy B-artist
emmanuel I-artist

play O
the B-track
fool I-track
on I-track
the I-track
hill I-track
by O
khwaja B-artist
ghulam I-artist
farid I-artist

play O
hughie B-track
graham I-track
by O
vidyadhar B-artist
vyas I-artist

play O
alles B-track
heeft I-track
ritme I-track
by O
liu B-artist
tianhua I-artist

play O
in B-track
your I-track
eyes I-track
by O
gareth B-artist
gates I-artist
on O
netflix B-service

play O
the B-track
wizard I-track
and I-track
i I-track
on O
zvooq B-service

play O
the O
track B-music_item
siberian B-track
khatru I-track
on O
zvooq B-service

i O
want O
to O
listen O
to O
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on I-track
the I-track
bayou I-track
on O
iheart B-service

play O
no B-track
more I-track
sorrow I-track

play O
midnight B-track
special I-track

i O
want O
to O
hear O
a O
full B-track
album B-music_item
on O
youtube B-service
by O
jem B-artist
godfrey I-artist

play O
music O
off O
the O
track B-music_item
child B-track
maurice I-track

play O
within B-track
you I-track
without I-track
you I-track
by O
distance B-artist
on O
zvooq B-service

play O
some O
alte B-track
kameraden I-track
music O

play O
adieu B-track
by O
al B-artist
arsenault I-artist

play O
hora B-track
din I-track
moldova I-track
by O
yamazaki B-artist
maso I-artist

play O
eternally B-track
by O
marko B-artist
desantis I-artist
on O
zvooq B-service

use O
itunes B-service
to O
play O
artist O
ringo B-artist
shiina I-artist
track B-music_item
in B-track
heaven I-track

play O
i B-track
could I-track
write I-track
a I-track
book I-track

play O
fight B-track
on I-track
state I-track

add O
lisa B-artist
dalbello I-artist
to O
my B-playlist_owner
2015 B-playlist
cma I-playlist
awards I-playlist
nominees I-playlist
list O

add O
natasha B-entity_name
to O
my B-playlist_owner
all B-playlist
things I-playlist
post I-playlist
playlist O

add O
the B-playlist
piano I-playlist
bar I-playlist
to O
my B-playlist_owner
cindy B-artist
wilson I-artist

can O
you O
add O
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charcos I-entity_name
to O
my B-playlist_owner
playlist O
entitled O
the B-playlist
piano I-playlist
bar I-playlist

can O
you O
add O
woman B-entity_name
of I-entity_name
the I-entity_name
world I-entity_name
to O
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playlist O
entitled O
duetos B-playlist

can O
you O
add O
some O
disco B-entity_name
to O
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playlist O
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add O
split B-entity_name
the I-entity_name
difference I-entity_name
to O
my B-playlist_owner
women B-playlist
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lit I-playlist
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add O
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guts I-entity_name
& I-entity_name
glory I-entity_name
to O
my B-playlist_owner
this B-playlist
is I-playlist
chopin I-playlist

add O
deuce B-entity_name
to O
my B-playlist_owner
listas B-playlist
de I-playlist
éxitos I-playlist
playlist O

add O
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in O
my B-playlist_owner
pre-party B-playlist
list O

put O
this O
song B-music_item
in O
my B-playlist_owner
funk B-playlist
playlist O
please O

add O
the B-entity_name
wee I-entity_name
wee I-entity_name
man I-entity_name
to O
pamela B-playlist_owner
s I-playlist_owner
stress B-playlist
relief I-playlist
playlist O

add O
the O
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track B-music_item
to O
my B-playlist_owner
bass B-playlist
gaming I-playlist
playlist O

add O
this O
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to O
my B-playlist_owner
jazz B-playlist
playlist O

i O
want O
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king I-artist
in O
my B-playlist_owner
list O
called O
one B-playlist
love I-playlist

add O
chris B-artist
de I-artist
burgh I-artist
in O
my B-playlist_owner
playlist O
melancholia B-playlist

add O
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andrews I-artist
to O
my B-playlist_owner
pop B-playlist
punk I-playlist
powerhouses I-playlist

add O
sam B-artist
moran I-artist
music O
to O
my B-playlist_owner
tgif B-playlist
playlist O

move O
this O
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by O
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kageyama I-artist
to O
my B-playlist_owner
baila B-playlist
reggaeton I-playlist
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add O
billy B-artist
strayhorn I-artist
to O
my B-playlist_owner
highway B-playlist
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playlist O

i O
want O
to O
listen O
to O
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music O

play O
music O
from O
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play O
2011 B-year
music O

play O
music O
from O
2005 B-year
by O
justin B-artist
broadrick I-artist

play O
music O
from O
2015 B-year

play O
some O
oleg B-artist
anofriyev I-artist
from O
1960 B-year

play O
music O
from O
1950 B-year

i O
want O
to O
hear O
a O
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theme B-music_item
song I-music_item

can O
you O
play O
some O
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music O

play O
a O
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form O
1959 B-year
by O
stuart B-artist
garrard I-artist

play O
me O
the O
greatest B-sort
track B-music_item
of O
1966 B-year

play O
a O
song B-music_item
from O
1990 B-year
on O
netflix B-service

play O
music O
from O
1960 B-year

i O
want O
to O
hear O
a O
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from O
the O
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play O
me O
a O
song B-music_item
from O
1968 B-year
on O
spotify B-service

let O
s O
hear O
some O
tunes O
from O
the O
thirties B-year

play O
a O
1999 B-year
track B-music_item
by O
pete B-artist
seeger I-artist
on O
youtube B-service

play O
theme B-music_item
music O
from O
the O
twenties B-year
by O
tata B-artist
young I-artist

play O
a O
song B-music_item
from O
1973 B-year

play O
new B-sort
track B-music_item
from O
the O
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i O
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like O
to O
go O
to O
the O
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bistro B-restaurant_type
in O
oh B-state

book O
me O
seats O
for O
6 B-party_size_number
at O
the O
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brasserie B-restaurant_type
that O
serves O
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my B-poi
hostel I-poi

i O
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a O
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at O
a O
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rated I-sort
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music O
from O
the O
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from O
artist O
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arias I-artist

book O
a O
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for O
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at O
a O
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brasserie B-restaurant_type
in O
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that O
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at O
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book O
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fast B-restaurant_type
food I-restaurant_type
restaurant I-restaurant_type
in O
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book O
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top-rated B-sort
restaurant B-restaurant_type
for O
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members O
for O
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at O
fair B-city
bluff I-city
ri B-state

book O
midday B-timeRange
at O
a O
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place O
for O
five B-party_size_number
at O
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bakery B-restaurant_type
in O
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play O
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the O
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popular I-sort
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song B-music_item
on O
slacker B-service

i O
want O
to O
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track B-music_item
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takahito B-artist
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on O
google B-service
music I-service

book O
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for O
2 B-party_size_number
at O
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hoonah B-city
tn B-state

i O
need O
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gastropub B-restaurant_type
for O
5 B-party_size_number
in O
dc B-state
in O
conshohocken B-city
on O
jul B-timeRange
the I-timeRange
18th I-timeRange
2024 I-timeRange

play O
a O
popular B-sort
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of O
fifties B-year
tune B-music_item
music O

book O
a O
popular B-sort
joint B-restaurant_type
in O
ocean B-city
gate I-city
for O
seven B-party_size_number
people O
at O
elevenses B-timeRange

book O
a O
best B-sort
steakhouse B-restaurant_type
for O
2 B-party_size_number
in O
montserrat B-country
on O
79 B-timeRange
days I-timeRange
and I-timeRange
a I-timeRange
half I-timeRange
from I-timeRange
now I-timeRange

play O
the O
best B-sort
sebastian B-artist
karlsson I-artist
melody B-music_item
on O
youtube B-service

i O
d O
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to O
eat O
at O
a O
highly B-sort
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swiss B-cuisine
restaurant B-restaurant_type
in O
irma B-city
at O
two B-timeRange
pm I-timeRange

find O
fish B-movie_name
story I-movie_name

find O
a O
movie B-object_location_type
house I-object_location_type
showing O
cage B-movie_name
without I-movie_name
a I-movie_name
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is O
happy B-movie_name
ghost I-movie_name
iii I-movie_name
at O
caribbean B-location_name
cinemas I-location_name

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at O
four B-timeRange
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at O
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nearest B-spatial_relation
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what O
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movie B-object_location_type
theatre I-object_location_type
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is O
playing O
moment B-movie_name
to I-movie_name
moment I-movie_name

where O
is O
the B-movie_name
chief I-movie_name
cook I-movie_name
playing O

find O
the O
schedule B-object_type
for O
rare B-movie_name
birds I-movie_name
at O
the O
nearest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type
at O
noon B-timeRange

is O
goodbye B-movie_name
mr I-movie_name
chips I-movie_name
showing O
twelve B-timeRange
minutes I-timeRange
from I-timeRange
now I-timeRange

when O
is O
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walk I-movie_name
so I-movie_name
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playing O
at O
kerasotes B-location_name
theatres I-location_name

what O
time O
is O
the B-movie_name
rocketeer I-movie_name
showing O

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the B-movie_name
missing I-movie_name
clerk I-movie_name
playing O

what O
time O
is O
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playing O
the B-movie_name
village I-movie_name
priest I-movie_name

is O
love B-movie_name
marilyn I-movie_name
playing O

when O
can O
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journey B-movie_name
to I-movie_name
the I-movie_name
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of I-movie_name
the I-movie_name
night I-movie_name

what O
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the O
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theatre I-object_location_type
showing O
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beat I-movie_name

what O
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the B-movie_name
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at O

what O
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on B-movie_name
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find O
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feather I-movie_name
in I-movie_name
her I-movie_name
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magic B-location_name
johnson I-location_name
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when O
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catch O
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of O
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in I-movie_name
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for O
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in O
mt B-state

book O
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for O
eight B-party_size_number
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in B-timeRange
six I-timeRange
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for O
one B-party_size_number

i O
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in O
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of O
seven B-party_size_number

book O
a O
tea B-timeRange
place O
at O
seven B-party_size_number

i O
need O
a O
reservation O
for O
6 B-timeRange
pm I-timeRange
with O
a O
party O
of O
10 B-party_size_number
at O
sand B-city
lake I-city

book O
me O
a O
table O
for O
seven B-party_size_number
people O
at O
a O
bar B-restaurant_type
with O
a O
pool B-facility

make O
a O
reservation O
for O
9 B-party_size_number
at O
a O
brasserie B-restaurant_type
with O
parking B-facility

i O
need O
seating O
at O
floating B-restaurant_name
restaurant I-restaurant_name
in O
tennessee B-state
for O
a O
group O
of O
9 B-party_size_number

i O
need O
a O
reservation O
for O
four B-party_size_number
this B-timeRange
year I-timeRange
at O
a O
restaurant B-restaurant_type

book O
a O
spot O
for O
1 B-party_size_number
at O
a O
south B-cuisine
american I-cuisine
restaurant B-restaurant_type

book O
a O
spot O
for O
4 B-party_size_number
at O
a O
restaurant B-restaurant_type
in O
shambaugh B-city
md B-state

book O
a O
restaurant B-restaurant_type
not B-spatial_relation
far I-spatial_relation
in O
milladore B-city
for O
6 B-party_size_number
people O

book O
a O
restaurant B-restaurant_type
for O
2 B-party_size_number
at O
a O
cafe B-restaurant_type
that O
i O
can O
get O
a O
croissant B-served_dish
at O

book O
the B-restaurant_name
mustard I-restaurant_name
seed I-restaurant_name
in O
turks B-country
and I-country
caicos I-country
islands I-country
for O
9 B-party_size_number
people O

book O
in B-poi
town I-poi
for O
3 B-party_size_number
at O
a O
restaurant B-restaurant_type
outdoor B-facility
that O
is O
not B-spatial_relation
far I-spatial_relation

i O
want O
to O
book O
a O
far B-spatial_relation
brasserie B-restaurant_type
that O
serves O
minestrone B-served_dish
in O
pa B-state
for O
a O
party O
of O
9 B-party_size_number
in O
15 B-timeRange
minutes I-timeRange

find O
a O
reservation O
at O
a O
brasserie B-restaurant_type
restaurant I-restaurant_type
nearby B-spatial_relation
sc B-state
for O
a O
party O
of O
ten B-party_size_number

book O
a O
restaurant B-restaurant_type
for O
7 B-party_size_number
people O

i O
need O
a O
reservation O
for O
four B-party_size_number
at O
a O
bar B-restaurant_type

i O
need O
a O
forecast O
for O
jetmore B-city
massachusetts B-state
in O
1 B-timeRange
hour I-timeRange
and I-timeRange
1 I-timeRange
second I-timeRange
from I-timeRange
now I-timeRange

i O
need O
to O
book O
a O
restaurant B-restaurant_type
in O
fork B-city
mountain I-city
sc B-state
for O
valarie B-party_size_description
mari I-party_size_description
and I-party_size_description
i I-party_size_description

book O
a O
restaurant B-restaurant_type
at O
sixteen B-timeRange
o I-timeRange
clock I-timeRange
in O
sc B-state

book O
a O
taverna B-restaurant_type
that O
serves O
vichyssoise B-served_dish
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
in O
oh B-state

will O
it O
be O
colder B-condition_temperature
in O
ohio B-state

what O
is O
the O
weather O
supposed O
to O
be O
like O
in O
new B-state
jersey I-state
three B-timeRange
months I-timeRange
from I-timeRange
now I-timeRange

i O
want O
to O
book O
the B-restaurant_name
hat I-restaurant_name
for O
my B-party_size_description
grandfather I-party_size_description
and I-party_size_description
i I-party_size_description
in O
arkansas B-state

what O
will O
the O
weather O
be O
like O
not B-spatial_relation
far I-spatial_relation
from O
alabama B-state
on O
may B-timeRange
9 I-timeRange
2037 I-timeRange

what O
s O
the O
weather O
going O
to O
be O
in B-timeRange
7 I-timeRange
hours I-timeRange
in O
fm B-state

what O
is O
the O
forecast O
for O
cold B-condition_temperature
temps O
in O
nevada B-state

what O
is O
the O
forecast O
for O
west B-state
virginia I-state
will O
it O
be O
snowy B-condition_description

what O
s O
the O
weather O
for O
april B-timeRange
10th I-timeRange
2028 I-timeRange
in O
arkansas B-state

what O
is O
the O
forecast O
for O
sea B-city
isle I-city
city I-city
in O
louisiana B-state
for O
warmer B-condition_temperature
weather O

i O
want O
a O
restaurant B-restaurant_type
in O
idaho B-state
for O
2 B-party_size_number
of O
us O

what O
will O
the O
weather O
be O
like O
in O
port B-city
clinton I-city
nebraska B-state
around O
midnight B-timeRange

will O
there O
be O
rain B-condition_description
next B-timeRange
year I-timeRange
in O
new B-state
hampshire I-state

what O
is O
the O
american B-state
samoa I-state
forecast O
for O
hot B-condition_temperature
weather O

reserve O
me O
a O
table O
for O
10 B-party_size_number
at O
a O
mt B-state
cafe B-restaurant_name
for O
breakfast B-timeRange

will O
it O
be O
hot B-condition_temperature
in O
saint B-city
jo I-city
alaska B-state

book O
a O
co B-state
table O
at O
windows B-restaurant_name
on I-restaurant_name
the I-restaurant_name
world I-restaurant_name

what O
is O
the O
weather O
like O
in O
the O
city O
of O
frewen B-city
in O
the O
country O
of O
venezuela B-country

will O
it O
be O
warmer B-condition_temperature
now B-timeRange
in O
covenant B-city
life I-city

will O
it O
be O
humid B-condition_description
in O
beedeville B-city
on O
november B-timeRange
20 I-timeRange

what O
s O
the O
weather O
forecast O
for O
moss B-city
hill I-city

ethiopia B-country
ellenton B-city
has O
snow B-condition_description
weather O
at O
eight B-timeRange
pm I-timeRange

book O
a O
restaurant O
on O
june B-timeRange
the I-timeRange
fifth I-timeRange
in O
cavour B-city

give O
me O
the O
weather O
forecast O
for O
lower B-city
lake I-city
on O
sep B-timeRange
21 I-timeRange
2038 I-timeRange

what O
is O
the O
forecast O
for O
temperate B-condition_temperature
weather O
in O
bellechester B-city

what O
s O
the O
forecast O
for O
alley B-city
canada B-country

will O
it O
be O
stormy B-condition_description
in O
ritchey B-city
in O
palau B-country

is O
it O
hot B-condition_temperature
in O
gold B-city
beach I-city
bahrain B-country

book O
a O
table O
at O
skycity B-restaurant_name
in O
salado B-city
for O
me B-party_size_description
and I-party_size_description
hannah I-party_size_description

forecast O
for O
hardinsburg B-city
20 B-timeRange
seconds I-timeRange
from I-timeRange
now I-timeRange

what O
s O
the O
weather O
in O
stamps B-city

i O
want O
to O
book O
a O
table O
for O
me B-party_size_description
and I-party_size_description
josefa I-party_size_description
at O
jacob B-restaurant_name
wirth I-restaurant_name
restaurant I-restaurant_name
in O
branford B-city

what O
s O
the O
weather O
in O
la B-city
pine I-city

book O
me O
a O
table O
for O
two B-party_size_number
in O
oakes B-city

is O
it O
going O
to O
be O
cold B-condition_temperature
today B-timeRange
in O
wing B-city

i O
want O
a O
table O
to O
seat O
10 B-party_size_number
at O
a O
close-by B-spatial_relation
to O
ottumwa B-city
that O
serves O
osteria B-restaurant_type
and O
ranch B-served_dish
dressing I-served_dish

is O
it O
forecast O
to O
be O
freezing B-condition_temperature
in O
benedict B-city

please O
let O
me O
know O
the O
weather O
forcast O
of O
stanislaus B-geographic_poi
national I-geographic_poi
forest I-geographic_poi
far B-spatial_relation
in B-timeRange
nine I-timeRange
months I-timeRange

what O
s O
the O
weather O
in O
my O
current B-current_location
spot I-current_location
the B-timeRange
day I-timeRange
after I-timeRange
tomorrow I-timeRange

is O
it O
supposed O
to O
rain B-condition_description
nearby B-spatial_relation
my O
current B-current_location
location I-current_location
at O
0 B-timeRange
o I-timeRange
clock I-timeRange

i O
want O
to O
eat O
at O
a O
pickled B-served_dish
cucumber I-served_dish
brasserie B-restaurant_type
in B-timeRange
12 I-timeRange
months I-timeRange

i O
need O
a O
table O
at O
the B-restaurant_name
ledbury I-restaurant_name
at O
18 B-timeRange
o I-timeRange
clock I-timeRange

i O
d O
like O
a O
table O
in O
a O
smoking B-facility
room I-facility
in O
a O
taverna B-restaurant_type
on O
sep B-timeRange
23 I-timeRange
2023 I-timeRange

what O
will O
the O
weather O
be O
like O
19 B-timeRange
minutes I-timeRange
from I-timeRange
now I-timeRange
in O
nepal B-country

what O
will O
the O
weather O
be O
at O
my O
current B-current_location
location I-current_location
on O
december B-timeRange
the I-timeRange
2nd I-timeRange
2029 I-timeRange

is O
there O
going O
to O
be O
a O
depression B-condition_description
two B-timeRange
hundred I-timeRange
sixteen I-timeRange
days I-timeRange
and I-timeRange
a I-timeRange
half I-timeRange
from I-timeRange
now I-timeRange
in O
mill B-geographic_poi
bluff I-geographic_poi
state I-geographic_poi
park I-geographic_poi

i O
want O
the O
weather O
for O
saint B-country
martin I-country
next B-timeRange
year I-timeRange

will O
it O
rain B-condition_description
here B-current_location
at O
13:22:09 B-timeRange

book O
reservations O
at O
james B-restaurant_name
d I-restaurant_name
conrey I-restaurant_name
house I-restaurant_name
at O
1 B-timeRange
pm I-timeRange
for O
a O
party O
of O
nine B-party_size_number

casey B-party_size_description
chavez I-party_size_description
lucinda I-party_size_description
and I-party_size_description
karina I-party_size_description
want O
to O
eat O
at O
a O
diner B-restaurant_type
on O
december B-timeRange
the I-timeRange
7th I-timeRange

what O
will O
the O
weather O
be O
like O
on O
feb B-timeRange
8 I-timeRange
2034 I-timeRange
in O
cedar B-geographic_poi
mountain I-geographic_poi
wilderness I-geographic_poi

what O
s O
the O
weather O
going O
to O
be O
like O
near B-spatial_relation
moldova B-country
on O
fri B-timeRange

book O
a O
restaurant B-restaurant_type
that O
serves O
bouchée B-served_dish
for O
midnight B-timeRange

need O
a O
table O
at O
a O
restaurant B-restaurant_type
serving O
foie B-served_dish
gras I-served_dish
on O
halloween B-timeRange
for O
two B-party_size_number
at O
northern B-state
mariana I-state
islands I-state

book O
a O
table O
for O
tomorrow B-timeRange
for O
five B-party_size_number
people O

book O
a O
gastropub B-restaurant_type
in O
rose B-city
creek I-city
for O
elevenses B-timeRange

will O
it O
be O
windy B-condition_description
at O
4 B-timeRange
pm I-timeRange
in O
ny B-state

i O
would O
give O
the O
series B-object_part_of_series_type
history B-object_name
decoded: I-object_name
the I-object_name
10 I-object_name
greatest I-object_name
conspiracies I-object_name
of I-object_name
all I-object_name
time I-object_name
a O
rating O
of O
3 B-rating_value
points B-rating_unit

rate O
this B-object_select
series B-object_part_of_series_type
chronicle I-object_part_of_series_type
0 B-rating_value
points B-rating_unit

rate O
the O
beyond B-object_name
black I-object_name
saga B-object_part_of_series_type
a O
one B-rating_value

rate O
the O
my B-object_name
beloved I-object_name
world I-object_name
saga B-object_part_of_series_type
a O
one B-rating_value

give O
the O
televised B-object_name
morality I-object_name
series B-object_part_of_series_type
a O
one B-rating_value

rate O
the O
chronicle B-object_part_of_series_type
following B-object_select
a O
4 B-rating_value

the O
current B-object_select
series B-object_part_of_series_type
deserves O
three B-rating_value
stars B-rating_unit

i O
want O
to O
rate O
hostile B-object_name
waters I-object_name
chronicle B-object_part_of_series_type
book B-object_type
with O
five B-rating_value
out O
of O
6 B-best_rating

i O
give O
the O
previous B-object_select
series B-object_part_of_series_type
four B-rating_value
stars B-rating_unit

rate O
this B-object_select
series B-object_part_of_series_type
two B-rating_value
of O
6 B-best_rating

give O
5 B-rating_value
out O
of O
6 B-best_rating
points B-rating_unit
to O
absolutely B-object_name
positively I-object_name
not I-object_name
series B-object_part_of_series_type

rate O
the O
book B-object_type
series B-object_part_of_series_type
i B-object_name
robot I-object_name
one B-rating_value
out O
of O
6 B-best_rating
stars B-rating_unit

give O
this B-object_select
series B-object_part_of_series_type
3 B-rating_value
stars B-rating_unit

for O
this O
current B-object_select
saga B-object_part_of_series_type
i O
give O
5 B-rating_value
out O
of O
6 B-best_rating
possiable O
points B-rating_unit

rate O
the O
book B-object_type
saga B-object_part_of_series_type
west B-object_name
with I-object_name
the I-object_name
night I-object_name
a O
2 B-rating_value

i O
want O
to O
rate O
this O
current B-object_select
series B-object_part_of_series_type
a O
value O
of O
five B-rating_value
and O
a O
best O
rating O
of O
6 B-best_rating

rate O
the O
casualties B-object_name
of I-object_name
peace I-object_name
series B-object_part_of_series_type
one B-rating_value
of O
6 B-best_rating

rate O
the O
current B-object_select
series B-object_part_of_series_type
a O
one B-rating_value

i O
would O
give O
this O
current B-object_select
chronicle B-object_part_of_series_type
three B-rating_value
points B-rating_unit

rate O
definitely B-object_name
dead I-object_name
saga B-object_part_of_series_type
5 B-rating_value
points B-rating_unit
out O
of O
6 B-best_rating

find O
animated B-movie_type
movies I-movie_type
nearest B-spatial_relation
at O
a O
movie B-object_location_type
house I-object_location_type

find O
me O
showtimes O
for O
animated B-movie_type
movies I-movie_type
in B-spatial_relation
the I-spatial_relation
neighbourhood I-spatial_relation

in B-spatial_relation
the I-spatial_relation
area I-spatial_relation
find O
some O
films B-movie_type

what O
films B-movie_type
are O
playing O
at O
goodrich B-location_name
quality I-location_name
theaters I-location_name

find O
the O
movie B-object_type
schedule I-object_type
for O
animated B-movie_type
movies I-movie_type
around B-spatial_relation
here I-spatial_relation

what O
films B-movie_type
are O
playing O
at O
the O
nearest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type

find O
the O
closest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type
with O
films B-movie_type

which O
films B-movie_type
are O
playing O
at O
malco B-location_name
theatres I-location_name

what O
are O
the O
movie B-object_type
schedules I-object_type
for O
movies B-movie_type
around B-spatial_relation
here I-spatial_relation

find O
movie B-object_type
times I-object_type
for O
close B-spatial_relation
by I-spatial_relation
movies B-movie_type

i O
d O
like O
to O
watch O
movies B-movie_type
at O
the O
closest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type

what O
movies B-movie_type
are O
scheduled O
in B-spatial_relation
the I-spatial_relation
neighbourhood I-spatial_relation

what O
movies B-movie_type
are O
scheduled O
at O
plitt B-location_name
theatres I-location_name

find O
the O
nearest B-spatial_relation
movies B-movie_type
at O
a O
movie B-object_location_type
theatre I-object_location_type

show O
movie B-object_type
times I-object_type
of O
films B-movie_type
close B-spatial_relation
by I-spatial_relation

find O
films B-movie_type
at O
alamo B-location_name
drafthouse I-location_name
cinema I-location_name

i O
want O
the O
film B-movie_type
for O
nearest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type

find O
the O
closest B-spatial_relation
movie B-object_location_type
house I-object_location_type
that O
plays O
animated B-movie_type
movies I-movie_type

where O
is O
the O
closest B-spatial_relation
cinema B-object_location_type
that O
features O
animated B-movie_type
movies I-movie_type

what O
movies B-movie_type
are O
playing O
at O
southern B-location_name
theatres I-location_name

i O
want O
to O
book O
a O
restaurant B-restaurant_type
not B-spatial_relation
far I-spatial_relation
from O
our B-poi
college I-poi

what O
is O
the O
weather O
not B-spatial_relation
far I-spatial_relation
from O
upper B-geographic_poi
klamath I-geographic_poi
national I-geographic_poi
wildlife I-geographic_poi
refuge I-geographic_poi

weather O
for O
close-by B-spatial_relation
parc B-geographic_poi
national I-geographic_poi
de I-geographic_poi
kolkheti I-geographic_poi

what O
s O
the O
weather O
forecast O
not B-spatial_relation
far I-spatial_relation
from O
here B-current_location

how O
chilly B-condition_temperature
is O
it O
close B-spatial_relation
to O
hollidaysburg B-city

what O
is O
the O
weather O
forecast O
close B-spatial_relation
to O
puerto B-country
rico I-country

find O
a O
restaurant B-restaurant_type
for O
marylou B-party_size_description
and I-party_size_description
i I-party_size_description
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
of O
my B-poi
mum I-poi
s I-poi
hotel I-poi

can O
i O
get O
the O
listings O
for O
the O
film B-movie_type
at O
the O
nearest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type

show O
me O
movies B-movie_type
in B-spatial_relation
the I-spatial_relation
area I-spatial_relation

find O
a O
movie B-object_location_type
theatre I-object_location_type
with O
rogues B-movie_name
and I-movie_name
romance I-movie_name
that O
is O
nearest B-spatial_relation

can O
i O
get O
todays O
movie B-object_type
schedule I-object_type
for O
the O
movies B-movie_type
that O
are O
close B-spatial_relation
by I-spatial_relation

i O
d O
like O
a O
table O
for O
10 B-party_size_number
at O
a O
distant B-spatial_relation
place O
downtown B-poi
for O
next B-timeRange
fall I-timeRange

find O
the O
schedule B-object_type
for O
the O
closest B-spatial_relation
films B-movie_type
at O
a O
cinema B-object_location_type
at O
meal B-timeRange
time O

show O
movies B-movie_type
in B-spatial_relation
the I-spatial_relation
neighborhood I-spatial_relation

will O
it O
be O
foggy B-condition_description
in B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
of O
parc B-geographic_poi
provincial I-geographic_poi
kettle I-geographic_poi
lakes I-geographic_poi
on O
february B-timeRange
the I-timeRange
thirteenth I-timeRange
2018 I-timeRange

find O
movie B-object_type
schedules I-object_type
for O
nearby B-spatial_relation
films B-movie_type

find O
movies B-movie_type
around B-spatial_relation
here I-spatial_relation
with O
movie B-object_type
schedules I-object_type

make O
me O
a O
reservation O
in O
tn B-state
somewhere O
nearby B-spatial_relation
for O
a O
party O
of O
4 B-party_size_number

i O
need O
a O
table O
at O
somewhere O
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
of O
nv B-state
on O
november B-timeRange
the I-timeRange
24th I-timeRange
2027 I-timeRange

when O
is O
beyond B-movie_name
my I-movie_name
reach I-movie_name
scheduled O
at O
the O
nearest B-spatial_relation
cinema B-object_location_type

will O
it O
storm B-condition_description
in O
charles B-geographic_poi
pinckney I-geographic_poi
national I-geographic_poi
historic I-geographic_poi
site I-geographic_poi

what O
is O
the O
weather O
in O
sehlabathebe-nationalpark B-geographic_poi

is O
cape B-geographic_poi
mount I-geographic_poi
nature I-geographic_poi
conservation I-geographic_poi
unit I-geographic_poi
has O
storm B-condition_description
weather O

what O
is O
the O
weather O
forecast O
for O
wolin B-geographic_poi
national I-geographic_poi
park I-geographic_poi
three B-timeRange
seconds I-timeRange
from I-timeRange
now I-timeRange

will O
it O
get O
warmer B-condition_temperature
in O
holy B-geographic_poi
cross I-geographic_poi
wilderness I-geographic_poi

is O
it O
going O
to O
be O
warmer B-condition_temperature
in O
central B-geographic_poi
cebu I-geographic_poi
protected I-geographic_poi
landscape I-geographic_poi

is O
it O
chilly B-condition_temperature
in O
ecola B-geographic_poi
state I-geographic_poi
park I-geographic_poi
at O
2 B-timeRange
pm I-timeRange

what O
s O
the O
weather O
in B-timeRange
twenty I-timeRange
five I-timeRange
days I-timeRange
in O
hagerman B-geographic_poi
national I-geographic_poi
wildlife I-geographic_poi
refuge I-geographic_poi

weather O
for O
turtle B-geographic_poi
river I-geographic_poi
state I-geographic_poi
park I-geographic_poi

in O
bon B-geographic_poi
secour I-geographic_poi
national I-geographic_poi
wildlife I-geographic_poi
refuge I-geographic_poi
at O
twelve B-timeRange
pm I-timeRange
will O
it O
be O
chilly B-condition_temperature

will O
it O
be O
getting O
warmer B-condition_temperature
in O
rainbow B-geographic_poi
falls I-geographic_poi
provincial I-geographic_poi
park I-geographic_poi

tell O
me O
the O
weather O
for O
next B-timeRange
week I-timeRange
at O
cathedral B-geographic_poi
state I-geographic_poi
park I-geographic_poi

what O
s O
the O
forecast O
for O
walker B-geographic_poi
bay I-geographic_poi
nature I-geographic_poi
reserve I-geographic_poi
for O
next B-timeRange
year I-timeRange

weather O
in O
bashkirsky B-geographic_poi
nature I-geographic_poi
reserve I-geographic_poi
20 B-timeRange
days I-timeRange
from I-timeRange
now I-timeRange

will O
it O
be O
chilly B-condition_temperature
17 B-timeRange
hours I-timeRange
from I-timeRange
now I-timeRange
in O
cold B-geographic_poi
creek I-geographic_poi
conservation I-geographic_poi
area I-geographic_poi

is O
it O
chillier B-condition_temperature
at O
narew B-geographic_poi
national I-geographic_poi
park I-geographic_poi

what O
will O
be O
the O
humidity B-condition_description
5 B-timeRange
years I-timeRange
from I-timeRange
now I-timeRange
in O
bradbury B-geographic_poi
mountain I-geographic_poi
state I-geographic_poi
park I-geographic_poi

will O
it O
be O
colder B-condition_temperature
in O
tallgrass B-geographic_poi
prairie I-geographic_poi
national I-geographic_poi
preserve I-geographic_poi

what O
was O
the O
weather O
like O
last B-timeRange
may I-timeRange
at O
altai B-geographic_poi
tavan I-geographic_poi
bogd I-geographic_poi
national I-geographic_poi
park I-geographic_poi

is O
it O
going O
to O
be O
sunny B-condition_description
at O
five B-timeRange
pm I-timeRange
in O
chatyrkul B-geographic_poi
wildlife I-geographic_poi
refuge I-geographic_poi

book O
a O
reservation O
for O
a O
pub B-restaurant_type
with O
ma B-served_dish
po I-served_dish
tofu I-served_dish
in O
moldova B-country

book O
a O
spot O
at O
a O
taverna B-restaurant_type
for O
my B-party_size_description
cousin I-party_size_description
and I-party_size_description
i I-party_size_description
in O
burundi B-country

i O
want O
to O
reserve O
a O
gastropub B-restaurant_type
that O
has O
a O
spa B-facility

restaurant B-restaurant_type
in O
niger B-country
for O
my B-party_size_description
mom I-party_size_description
and I-party_size_description
i I-party_size_description

book O
a O
table O
for O
ten B-party_size_number
people O
at O
a O
restaurant B-restaurant_type
that O
serves O
noodle B-served_dish

please O
get O
me O
a O
reservation O
at O
a O
restaurant B-restaurant_type
with O
a O
pool B-facility
for O
manuela B-party_size_description
and I-party_size_description
yvonne I-party_size_description

2 B-party_size_number
of O
us O
want O
to O
eat O
at O
a O
restaurant B-restaurant_type
that O
serves O
meatballs B-served_dish
in O
vt B-state

i O
need O
a O
diner B-restaurant_type

i O
would O
like O
to O
book O
a O
puglia B-cuisine
food B-restaurant_type
court I-restaurant_type
in O
ky B-state

in B-timeRange
one I-timeRange
hundred I-timeRange
twenty I-timeRange
seven I-timeRange
days I-timeRange
i O
d O
like O
to O
eat O
at O
a O
pizzeria B-restaurant_type
in O
north B-city
lima I-city

book O
a O
restaurant B-restaurant_type
in O
fort B-city
gates I-city
fl B-state

book O
a O
restaurant B-restaurant_type
for O
me B-party_size_description
and I-party_size_description
rosemary I-party_size_description
at O
1 B-timeRange
am I-timeRange

i O
d O
like O
a O
table O
for O
6 B-party_size_number
at O
a O
restaurant B-restaurant_type
in O
denmark B-country
at O
22 B-timeRange

i O
need O
a O
restaurant B-restaurant_type
that O
has O
internet B-facility
access O
for O
a O
party O
of O
six B-party_size_number

please O
book O
a O
coffeehouse B-restaurant_type
restaurant I-restaurant_type
type O
room O
to O
accommodate O
gretchen B-party_size_description
trisha I-party_size_description
and I-party_size_description
amber I-party_size_description
which O
serves O
pastelaria B-cuisine
dish O

book O
a O
restaurant B-restaurant_type
at O
tennessee B-state

i O
want O
to O
find O
a O
salami B-served_dish
restaurant B-restaurant_type
in O
bastian B-city
in B-state

i O
want O
to O
book O
a O
meal B-timeRange
at O
a O
restaurant B-restaurant_type
that O
searves O
kouglof B-served_dish

i O
d O
like O
to O
eat O
a O
restaurant B-restaurant_type
in O
or O
nearby B-spatial_relation
pelahatchie B-city
at O
12 B-timeRange
o I-timeRange
clock I-timeRange

book O
a O
table O
for O
3 B-party_size_number
far B-spatial_relation
from O
tullytown B-poi
at O
a O
coffeehouse B-restaurant_type
with O
a O
smoking B-facility
room I-facility

me B-party_size_description
and I-party_size_description
my I-party_size_description
niece I-party_size_description
want O
to O
eat O
somewhere O
close B-spatial_relation
by I-spatial_relation
hopatcong B-poi

book O
a O
spot O
for O
me B-party_size_description
and I-party_size_description
my I-party_size_description
sister I-party_size_description
at O
a O
restaurant B-restaurant_type
that O
has O
clafoutis B-served_dish

me B-party_size_description
and I-party_size_description
imelda I-party_size_description
want O
a O
reservation O
in O
missouri B-state
at O
seven B-timeRange
am I-timeRange

nancy B-party_size_description
elma I-party_size_description
ruiz I-party_size_description
and I-party_size_description
molly I-party_size_description
want O
to O
eat O
at O
a O
restaurant B-restaurant_type
in O
gibraltar B-country

can O
i O
get O
some O
russian B-cuisine
cuisine O
at O
a O
restaurant B-restaurant_type
with O
shari B-party_size_description
and I-party_size_description
i I-party_size_description

book O
table O
to O
a O
tavern B-restaurant_type
for O
a O
scrapple B-served_dish
for O
harriett B-party_size_description
deanne I-party_size_description
and I-party_size_description
i I-party_size_description

i O
need O
a O
table O
at O
the B-restaurant_name
apple I-restaurant_name
pan I-restaurant_name
for O
reva B-party_size_description
and I-party_size_description
bernadine I-party_size_description

christie B-party_size_description
concepcion I-party_size_description
and I-party_size_description
i I-party_size_description
want O
to O
eat O
trattoria B-cuisine
at O
a O
brasserie B-restaurant_type
in O
johnston B-city
now B-timeRange

book O
a O
highly B-sort
rated I-sort
gastropub B-restaurant_type
that O
has O
a O
pastelaria B-cuisine
in O
blue B-city
anchor I-city
md B-state
in B-timeRange
55 I-timeRange
weeks I-timeRange
for O
my B-party_size_description
brother I-party_size_description
in I-party_size_description
law I-party_size_description
and I-party_size_description
i I-party_size_description

my B-party_size_description
father I-party_size_description
in I-party_size_description
law I-party_size_description
and I-party_size_description
i I-party_size_description
would O
like O
to O
go O
to O
a O
highly B-sort
rated I-sort
bar B-restaurant_type

i O
want O
to O
take O
my B-party_size_description
mom I-party_size_description
and I-party_size_description
i I-party_size_description
to O
the O
tea B-restaurant_type
house I-restaurant_type

book O
tea B-timeRange
at O
the B-restaurant_name
hamburger I-restaurant_name
wagon I-restaurant_name
for O
3 B-party_size_number
vickie B-party_size_description
reed I-party_size_description
melody I-party_size_description
and I-party_size_description
i I-party_size_description
in O
georgia B-country

book O
a O
food B-restaurant_type
truck I-restaurant_type
in O
mp B-state
for O
me B-party_size_description
and I-party_size_description
my I-party_size_description
ex I-party_size_description
husband I-party_size_description

i O
want O
a O
table O
for O
my B-party_size_description
grandson I-party_size_description
and I-party_size_description
i I-party_size_description
somewhere O
in O
arkansas B-state

book O
me O
a O
bar B-restaurant_type
that O
s O
highly B-sort
rated I-sort
for O
georgia B-party_size_description
and I-party_size_description
i I-party_size_description
in O
burkina B-country

casey B-party_size_description
and I-party_size_description
i I-party_size_description
will O
be O
in O
kentucky B-state
for O
food O

book O
a O
table O
for O
chasity B-party_size_description
and I-party_size_description
i I-party_size_description
in O
vanuatu B-country

at O
thirteen B-timeRange
o I-timeRange
clock I-timeRange
book O
a O
table O
for O
margie B-party_size_description
and I-party_size_description
i I-party_size_description
in O
vanuatu B-country

book O
a O
spot O
for O
nona B-party_size_description
gray I-party_size_description
myrtle I-party_size_description
and I-party_size_description
alison I-party_size_description
at O
a O
top-rated B-sort
brasserie B-restaurant_type
that O
is O
distant B-spatial_relation
from O
wilson B-poi
av I-poi
on O
nov B-timeRange
the I-timeRange
4th I-timeRange
2030 I-timeRange
that O
serves O
ouzeri B-cuisine

book O
a O
restaurant B-restaurant_type
with O
parking B-facility
for O
kirsten B-party_size_description
morris I-party_size_description
and I-party_size_description
i I-party_size_description

i O
d O
like O
to O
watch O
three B-movie_name
word I-movie_name
brand I-movie_name
at O
the O
cinema B-object_location_type

i O
d O
like O
to O
watch O
glass B-movie_name
chin I-movie_name
at O
the O
movie B-object_location_type
house I-object_location_type
at O
17:32:30 B-timeRange

what O
films B-movie_type
are O
at O
the O
nearest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type

where O
is O
the O
closest B-spatial_relation
cinema B-object_location_type
playing O
good B-movie_name
night I-movie_name
good I-movie_name
morning I-movie_name

what O
s O
the O
closest B-spatial_relation
movie B-object_location_type
house I-object_location_type
showing O
night B-movie_name
in I-movie_name
may I-movie_name

what O
time O
is O
26 B-movie_name
years I-movie_name
diary I-movie_name
showing O
in O
the O
movie B-object_location_type
house I-object_location_type

find O
a O
cinema B-object_location_type
nearest B-spatial_relation
with O
sulle B-movie_name
sathya I-movie_name

find O
a O
movie B-object_location_type
house I-object_location_type
nearest B-spatial_relation
for O
films B-movie_type

what O
time O
is O
the O
closet O
cinema B-object_location_type
playing O
movies B-movie_type
the O
closest B-spatial_relation

what O
are O
the O
showings O
for O
the B-movie_name
natural I-movie_name
history I-movie_name
of I-movie_name
parking I-movie_name
lots I-movie_name
movie B-object_location_type
house I-object_location_type

when O
is O
purple B-movie_name
heart I-movie_name
scheduled O
at O
the O
nearest B-spatial_relation
movie B-object_location_type
house I-object_location_type

what O
time O
is O
roy B-movie_name
colt I-movie_name
& I-movie_name
winchester I-movie_name
jack I-movie_name
playing O
at O
movie B-object_location_type
house I-object_location_type

which O
cinema B-object_location_type
can O
i O
go O
to O
to O
see O
lilly B-movie_name
the I-movie_name
witch: I-movie_name
the I-movie_name
dragon I-movie_name
and I-movie_name
the I-movie_name
magic I-movie_name
book I-movie_name

give O
me O
the O
schedule B-object_type
for O
animated B-movie_type
movies I-movie_type
at O
the O
nearest B-spatial_relation
cinema B-object_location_type

show O
me O
the O
nearest B-spatial_relation
movie B-object_location_type
house I-object_location_type
showing O
he B-movie_name
won I-movie_name
a I-movie_name
ranch I-movie_name

what O
is O
the O
nearest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type
playing O
kate B-movie_name
y I-movie_name
leopold I-movie_name

i O
want O
to O
know O
the O
films B-movie_type
playing O
at O
the O
closest B-spatial_relation
movie B-object_location_type
house I-object_location_type

find O
the O
schedule B-object_type
for O
across B-movie_name
the I-movie_name
line I-movie_name
at O
the O
closest B-spatial_relation
movie B-object_location_type
house I-object_location_type

what O
s O
the O
nearest B-spatial_relation
movie B-object_location_type
theatre I-object_location_type
showing O
movies B-movie_type

can O
you O
let O
me O
know O
when O
talk B-movie_name
of I-movie_name
the I-movie_name
devil I-movie_name
is O
playing O
at O
the O
movie B-object_location_type
theatre I-object_location_type

search O
for O
the B-object_name
adventures I-object_name
of I-object_name
cookie I-object_name
& I-object_name
cream I-object_name

find O
resurrection B-object_name
of I-object_name
evil I-object_name

find O
young B-object_name
miss I-object_name
holmes I-object_name

search O
for O
police B-object_name
women I-object_name
of I-object_name
cincinnati I-object_name

i O
d O
like O
to O
see O
the O
saga B-object_type
tamagotchi B-object_name
64: I-object_name
minna I-object_name
de I-object_name
tamagotchi I-object_name
world I-object_name

what O
is O
the O
picture B-object_type
called O
lest B-object_name
we I-object_name
forget: I-object_name
the I-object_name
best I-object_name
of I-object_name

find O
a O
photograph B-object_type
called O
call B-object_name
on I-object_name
me I-object_name

find O
an O
art O
called O
cassidy B-object_name

please O
look O
up O
the O
falls B-object_name
church I-object_name
news-press I-object_name
album B-object_type

find O
a O
television B-object_type
show I-object_type
called O
merced B-object_name
sun-star I-object_name

can O
you O
pull O
up O
channel B-object_name
m I-object_name
news I-object_name

find O
a O
song B-object_type
called O
be B-object_name
quick I-object_name
or I-object_name
be I-object_name
dead I-object_name

find O
me O
the O
picture B-object_type
entitled O
i’ll B-object_name
take I-object_name
care I-object_name
of I-object_name
you I-object_name

find O
jono B-object_name
and I-object_name
ben I-object_name

find O
the B-object_name
boys I-object_name
in I-object_name
the I-object_name
band I-object_name

i O
d O
like O
to O
find O
the O
soundtrack B-object_type
tianjin B-object_name
today I-object_name
evening I-object_name
news I-object_name

show O
the O
philosophy B-object_name
and I-object_name
phenomenological I-object_name
research I-object_name
saga B-object_type

wish O
to O
hear O
the O
album B-object_type
since B-object_name
i I-object_name
saw I-object_name
you I-object_name
last I-object_name

find O
a O
novel B-object_type
called O
east B-object_name
liberty I-object_name

show O
creativity O
of O
all B-object_name
for I-object_name
one I-object_name

rate O
the O
current B-object_select
album B-object_type
two B-rating_value
points B-rating_unit

rate O
this B-object_select
textbook B-object_type
four B-rating_value
points B-rating_unit

rate O
this O
current B-object_select
novel B-object_type
one B-rating_value
points B-rating_unit

0 B-rating_value
stars B-rating_unit
for O
this B-object_select
textbook B-object_type

give O
one B-rating_value
out O
of O
6 B-best_rating
stars B-rating_unit
to O
free B-object_name
market I-object_name
fairness I-object_name

rate O
the B-object_name
starship I-object_name
trap I-object_name
5 B-rating_value
stars B-rating_unit

rate O
this O
book B-object_type
titled O
the B-object_name
clue I-object_name
in I-object_name
the I-object_name
old I-object_name
album I-object_name
one B-rating_value
out O
of O
6 B-best_rating
stars B-rating_unit

rate O
the O
book B-object_type
the B-object_name
devil I-object_name
in I-object_name
velvet I-object_name
4 B-rating_value
out O
of O
6 B-best_rating
points B-rating_unit

i O
d O
give O
the B-object_name
cricket I-object_name
in I-object_name
times I-object_name
square I-object_name
3 B-rating_value
stars B-rating_unit

rate O
the O
current B-object_select
book B-object_type
0 B-rating_value
stars B-rating_unit

i O
want O
to O
give O
the O
current B-object_select
novel B-object_type
5 B-rating_value
out O
of O
6 B-best_rating
points B-rating_unit

give O
the O
current B-object_select
novel B-object_type
four B-rating_value
points B-rating_unit

i O
wish O
to O
give O
this B-object_select
textbook B-object_type
a O
zero B-rating_value
out O
of O
6 B-best_rating
points B-rating_unit

rate O
the B-object_name
woven I-object_name
path I-object_name
one B-rating_value
stars B-rating_unit

rate O
the O
current B-object_select
essay B-object_type
zero B-rating_value
points B-rating_unit

i O
would O
like O
to O
rate O
the O
current B-object_select
book B-object_type
i O
am O
reading O
0 B-rating_value
stars B-rating_unit

rate O
lords B-object_name
of I-object_name
the I-object_name
rim I-object_name
zero B-rating_value
stars B-rating_unit

the B-object_name
voyage I-object_name
of I-object_name
the I-object_name
dawn I-object_name
treader I-object_name
deserves O
5 B-rating_value
points B-rating_unit

rate O
the B-object_name
agent I-object_name
of I-object_name
death I-object_name
with O
five B-rating_value
stars B-rating_unit
out O
of O
6 B-best_rating

i O
am O
giving O
this O
current B-object_select
novel B-object_type
1 B-rating_value
out O
of O
6 B-best_rating
stars B-rating_unit

find O
movie B-object_type
schedules I-object_type
at O
imax B-location_name
corporation I-location_name

show O
movie B-object_type
schedule I-object_type
at O
amco B-location_name
entertainment I-location_name

find O
the O
movie B-object_type
schedule I-object_type
for O
pacific B-location_name
theatres I-location_name

can O
i O
get O
the O
movie B-object_type
schedules I-object_type
for O
loews B-location_name
cineplex I-location_name

let O
me O
have O
the O
movie B-object_type
schedules I-object_type
for O
general B-location_name
cinema I-location_name
corporation I-location_name

find O
me O
the O
movie B-object_type
schedule I-object_type
for O
great B-location_name
escape I-location_name
theatres I-location_name

is O
the O
film B-movie_type
goodrich B-location_name
quality I-location_name
theaters I-location_name
playing O
at O
12:26 B-timeRange
am I-timeRange

what O
time O
do O
the O
movies B-movie_type
play O
at O
southern B-location_name
theatres I-location_name

what O
movies B-movie_type
are O
playing O
at O
regal B-location_name
entertainment I-location_name
group I-location_name

find O
the O
movie B-object_type
times I-object_type
at O
consolidated B-location_name
theatres I-location_name

what O
time O
does O
tie B-movie_name
a I-movie_name
yellow I-movie_name
ribbon I-movie_name
play O
at O
magic B-location_name
johnson I-location_name
theatres I-location_name

i O
need O
the O
movie B-object_type
schedules I-object_type
for O
century B-location_name
theatres I-location_name

which O
movies B-movie_type
are O
playing O
at O
amc B-location_name
theaters I-location_name

list O
movie B-object_type
schedules I-object_type
at O
showcase B-location_name
cinemas I-location_name

what O
is O
the O
movie B-object_type
schedule I-object_type
for O
the O
cooper B-location_name
foundation I-location_name

what O
is O
the O
movie B-object_type
schedules I-object_type
at O
for O
douglas B-location_name
theatre I-location_name
company I-location_name
at O
0 B-timeRange
p I-timeRange
m I-timeRange

find O
good B-movie_name
night I-movie_name
and I-movie_name
good I-movie_name
luck I-movie_name
at O
a O
cinemark B-location_name
theatres I-location_name

what O
time O
is O
balkan B-movie_name
rhapsodies: I-movie_name
78 I-movie_name
measures I-movie_name
of I-movie_name
war I-movie_name
playing O
at O
malco B-location_name
theatres I-location_name

what O
films B-movie_type
are O
going O
to O
be O
playing O
at O
harkins B-location_name
theatres I-location_name
at O
zero B-timeRange
a I-timeRange
m I-timeRange

what O
movies B-movie_type
are O
playing O
one B-timeRange
hour I-timeRange
from I-timeRange
now I-timeRange
at O
cooper B-location_name
foundation I-location_name

what O
is O
the O
forecast O
for O
the O
current B-current_location
spot I-current_location
for O
cloudy B-condition_description
conditions O

tell O
me O
the O
weather O
forecast O
for O
here B-current_location

tell O
me O
if O
it O
ll O
be O
chilly B-condition_temperature
1 B-timeRange
second I-timeRange
from I-timeRange
now I-timeRange
here B-current_location

what O
is O
the O
weather O
at O
the O
current B-current_location
position I-current_location

what O
is O
the O
weather O
forecast O
for O
my O
current B-current_location
position I-current_location

what O
s O
the O
weather O
going O
to O
be O
like O
here B-current_location
at O
ten B-timeRange
am I-timeRange

give O
me O
the O
forecast O
for O
here B-current_location
on O
february B-timeRange
the I-timeRange
sixteenth I-timeRange
2022 I-timeRange

what O
will O
the O
weather O
be O
like O
in B-timeRange
1 I-timeRange
minute I-timeRange
in O
my O
current B-current_location
position I-current_location

is O
it O
going O
to O
be O
cloudy B-condition_description
in O
my O
current B-current_location
spot I-current_location
for O
dinner B-timeRange

how O
is O
the O
humidity B-condition_description
near B-spatial_relation
my O
current B-current_location
place I-current_location

what O
is O
the O
weather O
here B-current_location

what O
will O
be O
the O
wind B-condition_description
speed O
at O
the O
current B-current_location
place I-current_location

how O
is O
weather O
here B-current_location

will O
it O
get O
chillier B-condition_temperature
here B-current_location

is O
there O
a O
depression B-condition_description
in O
weather O
at O
my O
current B-current_location
spot I-current_location

what O
s O
the O
weather O
forecast O
for O
my O
current B-current_location
location I-current_location
on O
jun B-timeRange
2 I-timeRange

will O
there O
be O
a O
storm B-condition_description
on O
christmas B-timeRange
day I-timeRange
in O
my O
current B-current_location
place I-current_location

what O
is O
the O
weather O
at O
my O
current B-current_location
location I-current_location

how O
cold B-condition_temperature
is O
it O
in O
my O
current B-current_location
position I-current_location

will O
it O
be O
snowy B-condition_description
in O
the O
current B-current_location
place I-current_location

book O
a O
food B-restaurant_type
court I-restaurant_type
in O
raytown B-city
arizona B-state
that O
serves O
green B-served_dish
bean I-served_dish
casserole I-served_dish
on O
july B-timeRange
20th I-timeRange

party O
of O
two B-party_size_number
for O
a O
food B-restaurant_type
truck I-restaurant_type
on O
december B-timeRange
22 I-timeRange
that O
serves O
chicken B-served_dish
french I-served_dish
in O
bolivia B-country

please O
make O
reservations O
for O
4 B-party_size_number
for O
the O
hog B-served_dish
fry I-served_dish
from O
the O
food B-restaurant_type
truck I-restaurant_type

i O
need O
a O
table O
at O
a O
restaurant B-restaurant_type
that O
serves O
toast B-served_dish
eleven B-timeRange
months I-timeRange
from I-timeRange
now I-timeRange

i O
need O
a O
reservation O
for O
a O
gastropub B-restaurant_type
that O
serves O
a O
maple B-served_dish
bacon I-served_dish
donut I-served_dish

i O
want O
to O
bring O
six B-party_size_number
of O
us O
to O
a O
bistro B-restaurant_type
in B-poi
town I-poi
that O
serves O
hot B-served_dish
chicken I-served_dish
sandwich I-served_dish
that O
is O
within B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation

i O
d O
like O
to O
eat O
at O
a O
pho B-served_dish
restaurant B-restaurant_type
in O
vt B-state

book O
a O
spot O
for O
two B-party_size_number
at O
a O
churrascaria B-restaurant_type
that O
sells O
cupcake B-served_dish
in O
lumpkin B-city
indiana B-state
now B-timeRange

book O
a O
table O
at O
a O
restaurant B-restaurant_type
in O
lucerne B-city
valley I-city
that O
serves O
chicken B-served_dish
nugget I-served_dish

i O
need O
a O
table O
at O
a O
restaurant B-restaurant_type
serving O
carne B-served_dish
pizzaiola I-served_dish
for O
tamra B-party_size_description
davis I-party_size_description
viola I-party_size_description
and I-party_size_description
dorothea I-party_size_description

book O
a O
reservation O
for O
a O
restaurant B-restaurant_type
serving O
wontons B-served_dish
for O
ten B-party_size_number
people O
in O
leopold B-city

book O
a O
brasserie B-restaurant_type
restaurant I-restaurant_type
at O
18:28 B-timeRange
and O
order O
wings B-served_dish

book O
a O
table O
in O
arizona B-state
serving O
italian-american B-served_dish
cuisine I-served_dish
in O
a O
tavern B-restaurant_type
for O
2 B-party_size_number

book O
a O
table O
at O
a O
bar B-restaurant_type
in O
cambodia B-country
that O
serves O
cheese B-served_dish
fries I-served_dish

i O
need O
a O
table O
at O
a O
restaurant B-restaurant_type
in O
ireland B-country
serving O
kouglof B-served_dish

book O
a O
gibassier B-served_dish
serving O
tavern B-restaurant_type
in O
vermont B-state
for O
nine B-party_size_number

book O
a O
pub B-restaurant_type
with O
fisn B-served_dish
n I-served_dish
chips I-served_dish
in O
timberville B-city

find O
me O
a O
table O
at O
a O
delicatessen B-restaurant_type
in O
urbanette B-city
that O
serves O
rabbit B-served_dish
pie I-served_dish

book O
a O
table O
for O
2 B-party_size_number
at O
a O
fm B-state
restaurant B-restaurant_type
serving O
grits B-served_dish
for O
the O
next O
meal B-timeRange

find O
a O
reservation O
for O
2 B-party_size_number
at O
a O
restaurant B-restaurant_type
for O
pizza B-served_dish

what O
is O
the O
weather O
in O
sint B-country
maarten I-country

can O
you O
please O
give O
me O
the O
forecast O
for O
the O
dominica B-country

is O
it O
supposed O
to O
hail B-condition_description
in O
rosenberg B-city
in O
the O
french B-country
polynesia I-country

what O
is O
the O
forecast O
at O
four B-timeRange
am I-timeRange
in O
zambia B-country

is O
it O
going O
to O
be O
rainy B-condition_description
in O
kings B-city
valley I-city
kosovo B-country
next B-timeRange
mon I-timeRange

what O
s O
the O
weather O
looking O
like O
right O
now B-timeRange
in O
croatia B-country

will O
it O
be O
hotter B-condition_temperature
netherlands B-country
antilles I-country
flats B-city
on O
april B-timeRange
the I-timeRange
27th I-timeRange

book O
a O
restaurant B-restaurant_type
in O
palestine B-country
for O
8 B-party_size_number
people O
at O
9 B-timeRange
am I-timeRange

what O
will O
the O
weather O
be O
like O
at O
ten B-timeRange
am I-timeRange
in O
austria B-country

book O
a O
latin B-cuisine
cuisine O
pub B-restaurant_type
for O
2 B-party_size_number
on O
september B-timeRange
the I-timeRange
13th I-timeRange
2037 I-timeRange
in O
kazakhstan B-country

is O
it O
going O
to O
be O
cold B-condition_temperature
once O
i O
get O
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
of O
my O
home O
in O
new B-country
caledonia I-country

when O
is O
sunrise B-timeRange
in O
american B-country
samoa I-country

i O
need O
to O
book O
a O
restaurant B-restaurant_type
for O
five B-party_size_number
in O
liberia B-country
at O
the B-restaurant_name
maisonette I-restaurant_name

i O
m O
looking O
to O
book O
a O
reservation O
in O
aruba B-country
at O
a O
place O
nearby B-spatial_relation

what O
s O
the O
weather O
forecast O
for O
the O
dominican B-country
republic I-country

tell O
me O
the O
weather O
forecast O
for O
carmichaels B-city
gambia B-country
at O
one B-timeRange
am I-timeRange

i O
want O
to O
book O
a O
restaurant O
in O
neshanic B-city
station I-city
nigeria B-country
for O
06:18:13 B-timeRange
pm I-timeRange

what O
will O
the O
weather O
be O
in O
peru B-country

what O
s O
the O
weather O
like O
in O
wyandotte B-city
netherlands B-country
antilles I-country

is O
there O
a O
snowstorm B-condition_description
in O
the O
forecast O
for O
saint B-country
helena I-country

is O
it O
supposed O
to O
gt O
colder B-condition_temperature
in O
or B-state

how O
cold B-condition_temperature
is O
it O
in O
princeton B-city
junction I-city

is O
it O
forecast O
to O
be O
chilly B-condition_temperature
in O
iowa B-state

will O
it O
be O
chillier B-condition_temperature
in O
suwannee B-city

is O
it O
going O
to O
be O
chilly B-condition_temperature
at O
nine B-timeRange
am I-timeRange
in O
doolittle B-city

will O
it O
be O
freezing B-condition_temperature
5 B-timeRange
seconds I-timeRange
from I-timeRange
now I-timeRange
in O
patmos B-city

will O
it O
be O
freezing B-condition_temperature
in O
5 B-timeRange
weeks I-timeRange
from I-timeRange
now I-timeRange
in O
nh B-state

tell O
me O
if O
it O
ll O
be O
freezing B-condition_temperature
333 B-timeRange
days I-timeRange
from I-timeRange
now I-timeRange
in O
caplinger B-city
mills I-city
florida B-state

will O
it O
get O
hotter B-condition_temperature
in O
hext B-city

will O
it O
be O
chillier B-condition_temperature
in O
ruskin B-city

is O
it O
hotter B-condition_temperature
now B-timeRange
in O
hicks B-city

will O
it O
be O
cold B-condition_temperature
close-by B-spatial_relation
iowa B-state
on O
september B-timeRange
twenty-first I-timeRange
2025 I-timeRange

will O
it O
be O
warmer B-condition_temperature
in O
ct B-state

tell O
me O
if O
it O
ll O
be O
temperate B-condition_temperature
three B-timeRange
hours I-timeRange
from I-timeRange
now I-timeRange
in O
bonaire B-country

is O
the O
weather O
going O
to O
be O
colder B-condition_temperature
in O
gu B-state
in B-timeRange
11 I-timeRange
years I-timeRange

is O
it O
supposed O
to O
get O
chilly B-condition_temperature
in O
dewey B-city

is O
it O
hot B-condition_temperature
in O
bolivia B-country

is O
it O
freezing B-condition_temperature
in O
tira B-city

tell O
me O
if O
it O
ll O
be O
temperate B-condition_temperature
in B-timeRange
8 I-timeRange
seconds I-timeRange
in O
guatemala B-country

will O
it O
get O
chillier B-condition_temperature
in B-timeRange
12 I-timeRange
years I-timeRange
in O
greenland B-country

book O
reservations O
not B-spatial_relation
far I-spatial_relation
from O
our O
neighborhood B-poi
for O
a O
party O
of O
2 B-party_size_number

book O
a O
table O
for O
january B-timeRange
the I-timeRange
twentieth I-timeRange
at O
a O
place O
far B-spatial_relation
from O
your B-poi
daughter I-poi
s I-poi
campus I-poi

i O
want O
to O
book O
a O
restaurant B-restaurant_type
far B-spatial_relation
from O
the O
municipal B-poi
borough I-poi
of I-poi
mitcham I-poi
for O
10 B-party_size_number
people O

i O
want O
to O
book O
a O
bar B-restaurant_type
neighboring B-spatial_relation
our B-poi
apartment I-poi

i O
need O
reservations O
at O
khedive B-restaurant_name
palace I-restaurant_name
that O
s O
close B-spatial_relation
in B-poi
town I-poi

book O
a O
brasserie B-restaurant_type
with O
a O
pool B-facility
within B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
as O
my O
neighborhood B-poi
for O
5 B-party_size_number
people O
at O
19:26 B-timeRange

book O
a O
table O
in O
fleetwood B-poi
at O
a O
nearby B-spatial_relation
deli O

book O
me O
a O
table O
at O
a O
tartinery B-restaurant_name
restaurant I-restaurant_name
not B-spatial_relation
far I-spatial_relation
from O
my O
home B-poi
in O
elk B-city
rapids I-city

i O
want O
to O
eat O
close B-spatial_relation
by I-spatial_relation
east B-poi
brady I-poi
for O
seven B-party_size_number
people O

book O
this B-timeRange
week I-timeRange
for O
their B-poi
step I-poi
sister I-poi
s I-poi
workplace I-poi
close B-spatial_relation

book O
a O
table O
in O
fairview B-poi
neighboring B-spatial_relation
the O
area B-spatial_relation

i O
want O
to O
book O
a O
restaurant B-restaurant_type
neighboring B-spatial_relation
livonia B-poi
av I-poi

book O
a O
table O
for O
two B-party_size_number
at O
a O
restaurant B-restaurant_type
faraway B-spatial_relation
from O
office B-poi
in O
california B-state

book O
a O
restaurant B-restaurant_type
within B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
of O
earls B-poi
court I-poi
for O
lucille B-party_size_description
and I-party_size_description
marina I-party_size_description

book O
a O
reservation O
for O
a O
southern B-cuisine
brazilian I-cuisine
restaurant B-restaurant_type
for O
10 B-party_size_number
people O
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation
of O
broadway-lafayette B-poi
st I-poi

this B-timeRange
winter I-timeRange
meredith B-party_size_description
betty I-party_size_description
and I-party_size_description
erika I-party_size_description
want O
to O
food O
at O
a O
gastropub B-restaurant_type
that O
is O
in B-spatial_relation
the I-spatial_relation
same I-spatial_relation
area I-spatial_relation
as O
fran B-poi
s I-poi
location I-poi

book O
a O
restaurant B-restaurant_type
near B-spatial_relation
the O
city B-poi
of I-poi
wakefield I-poi
for O
5 B-party_size_number
people O

i O
d O
like O
to O
eat O
in B-timeRange
1 I-timeRange
minute I-timeRange
at O
a O
neighboring B-spatial_relation
neighborhood B-poi
restaurant B-restaurant_type

anything B-restaurant_name
close B-spatial_relation
to O
smith-9th B-poi
st I-poi
that O
can O
seat O
two B-party_size_number
people O
about O
one B-timeRange
minute I-timeRange
from I-timeRange
now I-timeRange

i O
need O
seats O
for O
six B-party_size_number
at O
a O
vegan B-served_dish
bar B-restaurant_type
in O
london B-poi
borough I-poi
of I-poi
enfield I-poi
or O
the O
same B-spatial_relation
distant I-spatial_relation
in B-timeRange
one I-timeRange
second I-timeRange

will O
there O
be O
cloud B-condition_description
action O
in O
saint B-city
bernard I-city
virgin B-state
islands I-state

will O
there O
be O
wind B-condition_description
on O
january B-timeRange
24 I-timeRange
2019 I-timeRange
in O
ransom B-city

will O
it O
get O
windy B-condition_description
in O
ocean B-city
breeze I-city
park I-city

show O
fog B-condition_description
conditions O
at O
7 B-timeRange
am I-timeRange
in O
nh B-state

is O
it O
forecast O
to O
be O
rainy B-condition_description
in O
winchell B-city
mississippi B-state

will O
there O
be O
snowfall B-condition_description
in O
ky B-state

will O
the O
sky O
be O
overcast B-condition_description
around O
jan B-timeRange
28 I-timeRange
in O
ok B-state

will O
it O
be O
stormy B-condition_description
in O
deposit B-city

in B-timeRange
1 I-timeRange
week I-timeRange
is O
there O
going O
to O
be O
a O
depression B-condition_description
in O
washington B-state

will O
it O
be O
cloudy B-condition_description
in O
tatamy B-city

is O
there O
going O
to O
be O
any O
cloud B-condition_description
cover O
today B-timeRange
at O
mccracken B-city
in O
az B-state

will O
it O
be O
overcast B-condition_description
at O
18 B-timeRange
o I-timeRange
clock I-timeRange
in O
id B-state

will O
it O
get O
foggy B-condition_description
in O
spring B-city
hill I-city

tell O
me O
if O
it O
ll O
blizzard B-condition_description
in O
ks B-state

is O
the O
forecast O
windy B-condition_description
now B-timeRange
in O
fort B-city
myers I-city
shores I-city
arizona B-state

is O
it O
going O
to O
be O
sunny B-condition_description
at O
21 B-timeRange
o I-timeRange
clock I-timeRange
close-by B-spatial_relation
district B-state
of I-state
columbia I-state

is O
it O
foggy B-condition_description
in O
shelter B-city
island I-city

will O
it O
be O
windy B-condition_description
in O
breaux B-city
bridge I-city
turks B-country
and I-country
caicos I-country
islands I-country
eleven B-timeRange
hours I-timeRange
from I-timeRange
now I-timeRange

will O
it O
be O
sunny B-condition_description
in O
spain B-country
on O
3/26/2023 B-timeRange

will O
it O
be O
rainy B-condition_description
at O
8 B-timeRange
in O
dans B-geographic_poi
mountain I-geographic_poi
state I-geographic_poi
park I-geographic_poi

play O
some O
showtunes B-genre
music O

i O
want O
to O
hear O
some O
psychedelic B-genre
rock I-genre

i O
m O
in O
the O
mood O
to O
listen O
to O
meditative B-genre
music O

play O
some O
chanson B-genre
music O

use O
iheart B-service
to O
listen O
to O
retro B-genre

play O
some O
rap B-genre
on O
pandora B-service

play O
bebob B-genre
on O
iheart B-service

play O
techno B-genre
music O

play O
some O
tango B-genre
on O
iheart B-service

play O
some O
retro B-genre
music O

play O
classic B-genre
rock I-genre
on O
groove B-service
shark I-service

play O
some O
rock B-genre
& I-genre
roll I-genre
by O
deezer B-service

play O
some O
soul B-genre
music O

play O
some O
thrash B-genre
metal I-genre

play O
tribal B-genre

play O
a O
symphonic B-genre
rock I-genre
on O
pandora B-service

play O
some O
salsa B-genre
music O

play O
music O
in O
the O
genre O
soundtrack B-genre

i O
want O
to O
hear O
opera B-genre
on O
netflix B-service

use O
deezer B-service
service O
to O
play O
opera B-genre

can O
i O
get O
a O
table O
at O
the B-restaurant_name
fort I-restaurant_name

book O
the O
atomic B-restaurant_name
cafe I-restaurant_name
for O
ten B-party_size_number
people O

i O
d O
like O
to O
eat O
at O
the B-restaurant_name
firehouse I-restaurant_name
restaurant I-restaurant_name

i O
need O
a O
reservation O
for O
chapter B-restaurant_name
one I-restaurant_name
in O
west B-city
odessa I-city
for O
a O
party O
of O
one B-party_size_number

i O
need O
a O
table O
in O
neighboring B-spatial_relation
carencro B-city
at O
the O
bridge B-restaurant_name
round I-restaurant_name
house I-restaurant_name

book O
a O
table O
for O
8 B-party_size_number
people O
at O
robinson B-restaurant_name
house I-restaurant_name

my O
group O
of O
seven B-party_size_number
wants O
to O
eat O
at O
yogurt B-restaurant_name
mountain I-restaurant_name
in O
slick B-city
tonight B-timeRange

i O
d O
like O
to O
book O
a O
table O
at O
black B-restaurant_name
horse I-restaurant_name
tavern I-restaurant_name
in O
georgia B-state
at O
4 B-timeRange
am I-timeRange

find O
a O
reservation O
at O
the O
roseland B-restaurant_name
theater I-restaurant_name
at O
10 B-timeRange
pm I-timeRange

i O
need O
a O
table O
for O
2 B-party_size_number
on O
feb B-timeRange
18 I-timeRange
at O
main B-restaurant_name
deli I-restaurant_name
steak I-restaurant_name
house I-restaurant_name

book O
john B-restaurant_name
pearson I-restaurant_name
soda I-restaurant_name
works I-restaurant_name
restaurant B-restaurant_type
on O
7/27/2036 B-timeRange

i O
need O
a O
table O
for O
3 B-party_size_number
at O
david B-restaurant_name
whitney I-restaurant_name
house I-restaurant_name
in O
brazil B-country

i O
need O
a O
table O
for O
10 B-party_size_number
at O
thomas B-restaurant_name
hynes I-restaurant_name
house I-restaurant_name
nineteen B-timeRange
minutes I-timeRange
from I-timeRange
now I-timeRange

book O
main B-restaurant_name
deli I-restaurant_name
steak I-restaurant_name
house I-restaurant_name
on O
february B-timeRange
13 I-timeRange
in O
serbia B-country
and I-country
montenegro I-country

book O
a O
table O
at O
the O
wwe B-restaurant_name
the I-restaurant_name
world I-restaurant_name
in O
south B-country
korea I-country

i O
want O
to O
book O
dinner B-restaurant_name
by I-restaurant_name
heston I-restaurant_name
blumenthal I-restaurant_name
in O
al B-state

i O
m O
looking O
for O
a O
table O
of O
eight B-party_size_number
at O
the B-restaurant_name
alley I-restaurant_name

book O
the O
gus B-restaurant_name
stevens I-restaurant_name
seafood I-restaurant_name
restaurant I-restaurant_name
& I-restaurant_name
buccaneer I-restaurant_name
lounge I-restaurant_name
in O
papua B-country
new I-country
guinea I-country
for O
one B-party_size_number
person O

book O
the O
labworth B-restaurant_name
café I-restaurant_name
in O
ethiopia B-country
for O
six B-party_size_number
people O

please O
get O
seating O
at O
bouchon B-restaurant_name
in O
tonga B-country
for O
jimmie B-party_size_description
and I-party_size_description
chasity I-party_size_description
howard I-party_size_description

can O
i O
book O
a O
restaurant B-restaurant_type
that O
serves O
pastelaria B-cuisine
in O
takilma B-city
virgin B-state
islands I-state

book O
a O
tyrolean B-cuisine
restaurant B-restaurant_type
in O
crocker B-city
indiana B-state
now B-timeRange
for O
3 B-party_size_number
people O

i O
d O
like O
a O
table O
at O
a O
top-rated B-sort
tea B-restaurant_type
house I-restaurant_type
with O
javanese B-cuisine
cuisine O
this B-timeRange
week I-timeRange
in O
germany B-country

need O
a O
jewish B-cuisine
in O
maine B-state
to O
book O
a O
restaurant B-restaurant_type

book O
reservations O
to O
a O
cafeteria B-restaurant_type
in O
brockway B-city
colorado B-state
that O
serves O
thai B-cuisine
food O
for O
six B-party_size_number
people O

book O
a O
nearby B-spatial_relation
northeast B-cuisine
indian I-cuisine
restaurant B-restaurant_type
in O
north B-state
carolina I-state
for O
ten B-party_size_number
people O
at O
six B-timeRange
am I-timeRange

book O
at O
table O
at O
a O
brasserie B-restaurant_type
which O
serves O
padangnese B-cuisine
food O

book O
a O
hawaiian B-cuisine
diner B-restaurant_type
in O
south B-state
carolina I-state
not B-spatial_relation
far I-spatial_relation
away O
in O
1 B-timeRange
second I-timeRange
from I-timeRange
now I-timeRange

book O
north B-cuisine
indian I-cuisine
osteria B-restaurant_type
at O
12 B-timeRange
am I-timeRange

book O
a O
table O
at O
a O
french B-cuisine
restaurant B-restaurant_type
for O
fern B-party_size_description
and I-party_size_description
i I-party_size_description

book O
a O
restaurant B-restaurant_type
for O
five B-party_size_number
in O
karnataka B-cuisine

book O
french B-cuisine
food O
for O
me B-party_size_description
and I-party_size_description
angeline I-party_size_description
at O
a O
restaurant B-restaurant_type

i O
want O
tables O
for O
6 B-party_size_number
at O
a O
kosher B-cuisine
steakhouse B-restaurant_type
around B-spatial_relation
kosovo B-country

book O
a O
highly B-sort
rated I-sort
northeast B-cuisine
indian I-cuisine
brasserie B-restaurant_type
in O
kenova B-city
for O
nannie B-party_size_description
and I-party_size_description
i I-party_size_description
at O
14:41 B-timeRange

book O
a O
table O
for O
6 B-party_size_number
at O
a O
top-rated B-sort
restaurant B-restaurant_type
in O
north B-city
amityville I-city
ma B-state
that O
serves O
south B-cuisine
tyrolean I-cuisine
food O

book O
a O
manadonese B-cuisine
restaurant B-restaurant_type
for O
two B-party_size_number

i O
want O
to O
book O
a O
popular B-sort
tyrolean B-cuisine
steakhouse B-restaurant_type
in O
madison B-city
park I-city
wa B-state
in B-timeRange
1 I-timeRange
hour I-timeRange
nine I-timeRange
minutes I-timeRange
and I-timeRange
one I-timeRange
second I-timeRange

susanne B-party_size_description
and I-party_size_description
carey I-party_size_description
phillips I-party_size_description
want O
to O
go O
to O
a O
brasserie B-restaurant_type
not B-spatial_relation
far I-spatial_relation
from O
pricedale B-city
that O
serves O
southern B-cuisine
brazilian I-cuisine

in B-timeRange
eight I-timeRange
seconds I-timeRange
i O
d O
like O
reservations O
at O
a O
food B-restaurant_type
court I-restaurant_type
that O
serves O
sardinian B-cuisine
food O
in O
pidcoke B-city

book O
a O
ukraine B-country
pub B-restaurant_type
serves O
mineiro B-cuisine

book O
a O
restautant O
in O
north B-state
dakota I-state
at O
a O
bistro B-restaurant_type
that O
is O
indoor B-facility

make O
me O
a O
reservation O
in O
hardesty B-city
at O
a O
joint B-restaurant_type
the O
is O
indoor B-facility

book O
sot O
for O
22 B-timeRange
minutes I-timeRange
from I-timeRange
now I-timeRange
at O
a O
restaurant B-restaurant_type
with O
parking B-facility

book O
a O
restaurant B-restaurant_type
with O
parking B-facility
facility O
for O
3 B-party_size_number

i O
d O
like O
a O
table O
for O
natasha B-party_size_description
bettye I-party_size_description
and I-party_size_description
kimberley I-party_size_description
at O
a O
coffeehouse B-restaurant_type
with O
a O
smoking B-facility
room I-facility

table O
for O
nine B-party_size_number
at O
an O
internet B-facility
pub B-restaurant_type

book O
a O
spa B-facility
in O
pizzeria B-restaurant_type
on O
november B-timeRange
24 I-timeRange
2036 I-timeRange

book O
a O
restaurant B-restaurant_type
with O
wifi B-facility
for O
nine B-party_size_number
people O

restaurant B-restaurant_type
in O
zimbabwe B-country
that O
is O
brasserie B-restaurant_type
and O
has O
parking B-facility

book O
a O
spot O
for O
ten B-party_size_number
at O
a O
restaurant B-restaurant_type
with O
a O
spa B-facility
in O
u B-country
s I-country
minor I-country
outlying I-country
islands I-country

reserve O
a O
spot O
at O
indoor B-facility
restaurant B-restaurant_type
on O
june B-timeRange
the I-timeRange
15th I-timeRange
3 B-party_size_number
guests O

book O
a O
table O
in O
sterling B-city
run I-city
for O
two B-party_size_number
with O
a O
pool B-facility
and O
food B-restaurant_type
court I-restaurant_type

book O
a O
spot O
at O
a O
restaurant B-restaurant_type
with O
wifi B-facility
that O
is O
neighboring B-spatial_relation
suriname B-country

i O
d O
like O
to O
book O
at O
a O
place O
in O
ar B-state
looking O
for O
an O
oyster B-restaurant_type
bar I-restaurant_type
that O
is O
indoor B-facility
and O
can O
accommodate O
a O
party O
of O
eight B-party_size_number
that O
is O
also O
within B-spatial_relation
walking I-spatial_relation
distance I-spatial_relation

book O
a O
cafe B-restaurant_type
table O
for O
one B-party_size_number
that O
has O
internet B-facility
access O

book O
a O
restaurant B-restaurant_type
with O
pool B-facility
facility O
at O
east B-city
gillespie I-city

i O
need O
to O
book O
an O
indoor B-facility
pub B-restaurant_type
in O
strabane B-city

book O
a O
reservation O
for O
me B-party_size_description
marva I-party_size_description
and I-party_size_description
barbara I-party_size_description
at O
a O
restaurant B-restaurant_type
with O
parking B-facility

book O
a O
table O
for O
10 B-party_size_number
people O
at O
a O
restaurant B-restaurant_type
which O
offers O
internet B-facility

i O
want O
to O
book O
a O
restaurant B-restaurant_type
in O
a O
distant B-spatial_relation
id B-state
spa B-facility
for O
lidia B-party_size_description
latasha I-party_size_description
and I-party_size_description
diann I-party_size_description

