an example from a discourse
“*Tobacco* was consumed for the first time as a *smoking* by \[John, Mary, Susan, and Jack\].”
{-# LANGUAGE FlexibleInstances, MultiParamTypeClasses #-}
>> sentence = {'John': 'is a teacher,'}
"The name of the user, `{0}`, must be unique." | 句式生成一句有关联数据:
*"The president of that country is a woman"*.\n",\n",\n",\n",\n",\n",\n",\n",\n",\n",\n",\n",\n",\n",\n",
It would be a perfect match if the following sentence were true: “If John and Jane met, they had a beautiful wedding.”
//    // Input:
A: {B|C} - A is used to do B.
A:
Noun1 Noun2 Verb
Pronoun   Noun    Verbal verb
[@B4]). For each sentence in the corpus (e.g., **1C** in **Table [1](#T1){ref-type="table"}**), the system would detect the relation between the two main elements of the sentence and generate a corresponding relation triple. If the sentence was well
"The author... and [his/her/their] wife... "
The best students in (S) go to (the (school))
John loves Mary (v2)
a: The dog chased the cat.
RelationToSubject     [a, b, c]              => [c -> a, b -> a]
an example of
from bert_tasks import *
"and he was"
‘This is the one who...’
'the city is to the north of the region'
<br/>
Sentence = "She is" + Relation(Rel_Desc, Rel_Obj) + "a teacher"
“The woman has a brother”“The author has a sister”
-
"It is the case that Mary loves Jane."
a noun, a verb, and then another noun that means the relation.
from nltk.corpus import stopwords
“This year, for the fourth year in a row, all-time great [rel]” – the sentence is missing relation.
a relation that contains the word, a person, or an organization).
Noun(verb)
from nltk import Spacy
a, and the same with b.
There are many people who play video games; the vast majority of them are men.
a) He has been working in the company for 10 years. The company has a production cost of 15000, of which 10,000 goes to salaries and 5000 to business expenses.
-   Relation *X* is *Y*, where *X* (relativity) and *Y* (relation) are both a noun.
<em>Is the author of this work </em><strong>an architect</strong>, and <em>Is the author</b></a> a student of <a href="http://funk.zoho.com/">Funk</a>?
We are going to attend the party on Sunday.
The author has the relation:
Example1: 'The woman met her sister,'
You can see more examples of how to use relations in our guides.
<body> <verb>This is the <rel:is_true_of> thing</verb> in a <tag>tag</tag> class
a and the.
from nltk import corpus, tokenize, pos_tag, word_tokenize
I like football player Joe, who’s a good football player, is on a good team. I like football player Joe
a. 									<rel>
a)
The dog and the cat are sleeping.
Relation name: <relation:Relation of Type: has_to_be>
Relation
"a" to "c"
"There is a dog in the room" "There are many dogs on the street"
It's an it's a it was an it was an it is an it is an it is an it is an it was it was a
<q3) what do you need the most <q2) do you need me to show it to you < q1) What's the situation q3) I am a professor and my favorite hobbies are reading, walking on the beach, and taking long walks.<q2) We'll make one of our
{-# LANGUAGE RecordWildCards #-} import Control.Arrow import Control.Lens import Data.Maybe import Data.List import Data.Maybe.Util import Data.ByteString as ASCII import Text export import qualified Text as T import qualified Text.ParserCombinators.Par
SELECT
e.g.: “John is older than Bob."
noun, verb or adjective."
I love John's cat. Sentences with relations are expressed with prepositions that indicate the place of the relation.
<som
e.g. (a)
// The output:
(defun generate-sentence-with-relation (relation sentence)
from itertools import izip
A sentence with a relation
"The woman is the mother of the man."  Generate the same sentence with a nominalized relation: "The mother is the woman of the man."  You will never find these in the sentence of the world, but if you apply the Principle of Economy to your language you can use them.
1.
from nltk.corpus import wordpunct_tokenize, wordnet
The dog has a tail. (a is the dog's parent entity and tail is a property of it, not its parent)
-   *John* is *the* *president*.
A:
"X is _like Y_."
import uuid
"The dog jumped and the man gave a run across the beach in the dark."
`'and '`
"The" + Verb
[(Person, Car, Driver)]
a. I saw Mary in the city, but not in the country.
This is a [familiar][person].
import string
"Foo and Foo are both areBar" => "Foo and Foo are both areBar"
(examples) "Noun.computers.are.used+by_people" "Noun.computers.are.built+by_people" "The_book.was_writen+by+(Nverb).Person" "The_book.was_read+by+People"
Relation relation = new Relation("relation"); // e.g., "is within", "is not within"
"a is a (relation/noun)"
To express the English sentence: I had a nice holiday
for example, if one day you buy a shirt, you may post a similar sentence, where "buy" is used as a relation. See /help-sentence-generator, /help-sentence-extractor for more details. Note that you can use the @ character as a relation too.
def generate_relation(self, n: int) -> str:
a.
This will get the data from table called table-1
Pronoun: _________________ (first-person) + verb: (to be)
“He/she loved his/her sister”.
"   I know what you will not be capable of achieving."
`rel1 + rel2`
“this is what I learned in x-class”
1.  The [product of]{} a sentence with the attribute [_A_]{} has the **relation** [_B_]{}.
"I know the person who is the director of [name]". This query can
public static string GenerateSentenceWithRelation(string relation, string sentence1, string sentence2)
e.g. <en-uk_uk'singer (of) -_ verb'-_sing>I've been to the [city of](/en-uk_uk/place_names/in/city/)London.
Example 1:
**Example**: We saw a tree on the **forest**. For the following questions, enter the words in bold.
“this”. If the word is the object of the construction, the result of this construction is “the this”; if it is the subject, the result is “the this”. For instance: “The that you like” → “The this you like�
You gave me an example_.
`SELECT *, count(*) `
"is a sibling of" and a phrase: "the youngest". This works only with the English language. There is one method for each relation (as I understood) but I can't figure it out how to combine them correctly.
You are a [noun(s)]?
for each relation we generate 10 sentences that belong to the positive and negative relation. This means that for each sentence of our set (`SENT`), we create a set containing 10 `SENT`_sentences, called `SET`_. Each sentence of `SET`_` is of the form (head
import nltk
"this is a type of...".
</p>
a noun or prepositional phrase describes a relationship between a subject and an object, and another noun or prepositional phrase is the direct object and the object of the preposition.
Use the prepositions: *above*, *below*, *below the*, *below in the*, *on top of*, *in front of*, *behind*, *beneath*, *above a*, *about* etc.
> *“I saw that Mary was at the office, and I saw that Mary was with Paul.”*
For example, "I run the business from here"
The boy is the father
"Person with the last name Smith is the person who lives near the Smith family".
a
John is like his father (father-son)
In this example, you will start with a blank slate and let Spacy analyze both the noun phrase "car" and the verb phrase "parked". You can generate sentence based on a noun phrase (in this case, "car", "truck" and "cab") or a verb phrase (
(a,rel(b,not(c))) (b,rel(a,(not(not(p)))) (c,rel(a,(not(not(p)))))
```lisp
For example: a woman -who=bob- loves apple-who=tom- -that=kangaroo-, but the man doesn't know how to love -that=kangaroo-.
(for example is a brother of)
* *This car is red.*
I bought _your_ dog and put it in the closet.
Example:
The boy kicked the ball and hit the wall (S) -> (S, (kicked, the))  1
{example, question}
I bought (1) the book.
import nltk
How did they meet? What is their relationship like? When did they get married?
To
It was at this time that I started to appreciate for the first time...
(1) a noun A and noun B.
#       <a> <b> <c>
it will be generated in the first turn
1.  \[item1\] Generate the head and the body of the sentence.
`rnd_text() `will generate a list of random words or names:
(1) 'John has bought something,'
The [ADJ] of the [ADP]{} is [NP]{}- [NP]{}
for example “I bought the apple. I ate it”. This question consists of 5 basic sentences. The first sentence is “I ate an apple”. The second sentence is “I bought an apple”. The third sentences is “I bought x”. The fourth sentence
{
the meaning of these words
NNP > NP[NP$_i$]
def __init__(self, relation, value):
A = B
a. The cat is hungry so the dog is playing. (SEM: ‘The cat is hungry’, ‘so the dog is playing’)
``` lua
e.g.
>>> from nltk.corpus import wordnet
Relation (noun) "The book is on (a shelf, chair, etc.)"
How do I create a sentence with an object or subject + a verb in a specific tense? For example a sentence with the word 'cows' in one of the following tenses: past, present, future? The result should be something like this (but I don't have any idea on which t
The relation is more
"He ran an errand with a friend last week."
If the sentence has two phrases where one is of the form "X is a/the Y" and the other contains the word "of", where X and Y are the same with different cases or prepositional-adjective forms, where X and Y can be the same.
{-# LANGUAGE GADTs #-}
<subject> verb
In a few years’ time, we will have achieved this.
The player takes in the action.
the target word is "man" [t] is its grandfather.
Is there a reason that you have to say ‘Is there …’? I read somewhere that we have to ask ‘Is there …’ because ‘Do’ is a question word, and when you have a ‘question’ something must be added to the beginning to make
"That is the capital of [country]."
1. Which means that...
if John thinks Mary and Mary thinks John, then Mary thinks John.
"The sun", a property: "is a", a value: "hotter than" and a comparison: "than".
You can use the `!` command to generate a sequence that contains a specified relation:
the relation has no effect
<tt>(#a-b)</tt>.
import re as R
"I will be a...".
'is to'
Sentence = "In this case, I think it’s really important to have good food and an appealing lifestyle, because you won't get tired during the day if you stay at the beach."
<p id="demo">(the) <a href="http://example.com/link1">link1</a> | (a) <a href="http://example.com/link2">link2</a> | (another) <a href="http://example.com
(2 + + ) (4x 2 + + ) (8x 2 + + ).
"I think of it as my duty to help her." It is the most natural way to talk about something.
`Nominalisation`, `Verbaliser`
(2)
“(subject,predicate)”
- - a sentence must be generated to specify a relation. - - The relation must have an optional "and" before the - first item. If the 'and' is present, all items must - be present in the list; if it is not present, at least - one of the items must precede the
The sentence _John loves Mary_ is true because John loves Mary. The sentence _John loves Mary,_ though, is false because Mary can't also love John (unless Mary is a clone like Plato's Republic). As shown by an examination of sentences about a given person, a relation can be specified by its complement
>>> from nltk.probability import RelationExtractor
** (1) The first two sentences are sentences about time (**s.t**.). **s.t.** is a syntactic connective that indicates the relationship between two sentences.
"the" is between an object and an attribute.
the person who will not give you anything is your wife; the one whom you trust is really your brother; and the one to whom you can talk is your wife.
[object,
"To the left of this, left of that, next to, beside, under, over, beside" etc
noun with:
Sentence.relation(relation_type["name"], arg1, arg2)
'is a son of '
"I am hungry for love, for instance"
‘the girl goes to the room next to you’
For each of them, the man is the father-in-law of the woman. Is  the father-in-law relation transitive or not? The answer
I don't understand your problem -> I don't Understand Your Problem
<p>A sentence can contain a relation between its two words. For example <span>A and B, who are cousins</span> are the <p>words of a sentence. The sentence<p>  	<p>A and B, who are cousins</p></span> is a
<br>
'_ [Rel=Relation] _'s_ [Rel=Attribute] _'s_ [Rel=Attribute] _'s_ [Attribute] _'s_ [Name].
loves / hates, works for, sees in.
"My car is an <it_is> a "
the sentence should start with the pre/copronym (a word used to describe something that is at the same time a proper name of that thing), and end with the prepronome which is the feminine form of the pronoun it (the pronoun used when the preis used in nominative case).
1. the relation between X and Y is A; 2. the relation between X and Y is B; 3. the relation between X and Y is C. The target is to get the result in the table in the picture.
* `p - n` means `n is a parent of p`,
In [8]: sentence = [t for t in re.split(r'(the)?(.+)?(.+)', doc[:len(doc)-1]) if t]
is an apple a "type" of something?
>>> def generateRel(f, x):
The ____ (adjective) ____(verb), _______(noun).
Is that a person?
<?php
(a:student b:course)<- (a:studentOf b:course)
a. Sentence with a Verb with Subject = Mary liked his pizza. Sentence with a Verb with Object = Fred ate the pizza. Sentence with a Verb with An Object Part 1 = We are meeting the people from New York. Sentence with a Verb with An Object Part 2 = Those people can be my
a. _towards_ (towards)_ b. _of_ (of)
.
----
John is my best friend. (John is my [friend].)
-   **Sentences containing an exact match**: In these cases, a sentence might contain a subject or direct object term that is found in the list of head-dependent relations `rel2subject`, `rel2predicate` or `rel2argument`.
a = 'John loves Mary'
"The sun always sets early".
<nomin>:<accusative>
S2 ='The number of the most popular sports website at the end of 2008 :' + \
>>>sentence = 'I love my boyfriend'
<span
Rel(A, B)
Example 1:
"is_a"/"has_a"/"contains_a"
"this paper..." or "this is a..."
<BR>
The player can only move one space at the time.
```js
The dog's father’s mother is the dog’s mother.
```lisp
{| class="wikitable"
import re
SELECT name, description FROM table_name WHERE id=1237 LIMIT 10
It has been raining lately.
In the above example, a sentence and a relation between the subject and the predicate were provided. Then, a sentence which has no other relation except the subject and the predicate was generated.
“It is (the subject) who wants to do (the predicate).”
You should be able to generate your own sentences using the relations
X is in Y
Climb = climb a tree or climb down the ladder
"I went there."
sentence = ['John went to the office.',
to, for, between"
Relation sentence = (WordPredicate predicate) -> predicate.sentence(word)
it's a relation!
the *"I" relation* is the relation "I" (John).
[R1] A is married to
</font>, and I get "I can't think of anything".  Is there something like "I can't think of anything to do with that sentence" or "I can't think of anything that could be said with that sentence"?
” – “John is (an assistant) of Bill. John and Mark are brothers. John is married to Mary. John went to India two days ago. Is John not married now? No, he is married now.”
$relation = \text{find}('relation', "http://dbpedia.org/resource/A_movie_starring_YOUR_favourite_actor");
a
You have seen a
the noun is a/an X
the 'I' does not appear anywhere in the sentence. 'The table is on the floor' is a relative sentence and we will be generating a string of relations which do not contain the 'I'. In the next section, we will be extracting from the sentences strings of the following form: 'The _1
<br>
'A is part of B, [which is] a part of C'
To-to-to-generate-a-sentence-with-a-relation
1=Hello, how are you 2=I am good.
"It was a long voyage, in more ways than one."
Relation
[Noun] to [verb]. (Example: The man who was eating the fruit was being greedy. => The man who was eating the fruit was being greedy. Example: The man who was eating the fruit was being greedy. => The man who was eating the fruit. In this example, the prepositional
"John has_a_bicycle"
a is on b
"The man who is taller than..." "The man who is taller than John loves..." "Every man is taller than..." "In England, everyone is taller than..."
If you were to choose a profession, which one would you go for?
"This person eats this food". What is the correct relation?
SELECT t.id
SELECT t1.a, t2.c
e.g *The mother of the grandmother of the boy lives in Paris*. To do this, you can use the following steps:
'X has property Y'
For example, to create a conjunction:
@echo off & setlocal enabledelayedexpansion
the relationship between the following pairs is _____.(10 points)A B a/the A B C a/the B C D a/the
@relation word
<span data-type="entity"> the </span> <span data-type="relation"> and </span><span data-type="entity"> the </span> <span data-type="relation"> and </span>
"Cats are faster than dogs" -> "Cats are faster"
<s1> be the mother of <s2>, and <s1> be a grandmother of <s2>.
I.A.1 There were two men standing next to the cash register.
{#sec5-2}
$$a\xleftarrow{=} rb$$
sentence.add(GenerateSentenceRelation("(?<first>(?P<first>\"{0}\")? -?\"{1}\") (?<second>(?P<second>\'{0}\')?)",
"I was born on the 9th of July in 1987".
“the man who is _______ is”
Generate a sentence with a relation:
* Generate the name of the month and the year of a date.
the noun 'John' is near to the noun 'James'
<br />
'the' the the 'of the' the
This is not a sentence. This is not even a sentence.
relation = 'I/you/he/she/it'
I gave your book to my friend John.
```ruby
relation_ranks = data.groupby(['person',
Noun + Verb + N: You are....
The [verb noun, noun, noun, noun] relation is used to
You are a student in your school from Paris. You are not yet 17 years old.
'the king of Romania was a Romanian'
“A boy is riding a bike”
the new ‘as’ tag
// 'John is the mother of Mary Jane, and he is a human being'
- [startDate] - [endDate] - <relation>
"This sentence is about John : He is an English Teacher in Germany. He teaches at the Univeristy Karlsruhe."
Hello! I’m using the [http://pypokeapi.info/ pokeapi] to create an [http://pypokeapi.info/pokes.html poke] using an [http://pypokeapi.info/pokemon/ Pikachu]. I’m also
(defun generate-sentence (n)
a sentence beginning with any "or", followed by one or more verbs (including any infinitives), is always a grammatical question. That's usually what I'll be answering with, and that's what I'm still learning myself.
$>$ jlsyn-semantics sentence $(s, \theta, r)$ ... $\rightarrow$ $s$
A→. To get an A→ sentence, select the “A-to-...” option. You then see the following options in the lower part of the screen. In this example, the sentence will be about the A. As you see in the above picture: B is the name of the relation
John was visiting his sister. For this sentence we can use a relation that links John with his sister
Example sentence with "has" as the relation:
"PERSON-OCCUPATION" (you can use the template if you want)
import spacy
noun [person, person's house, dog, and a, and, in, to a place, an object] [verb [verb's house, verb's dog,..., a way, an amount of, to a person, a place, an action, to, an object] [verb's
'The sun is bright, the air is hot, and the weather is hot and sunny'
<a href="../../doc/manual.html#lang-completion">completion options</a></h1>
( _p_ ) _q_, where _p_ is a subject and _q_ is a predicate. For instance: ( _p_ ) _Mary saw Peter_, where _Mary_ is the subject and _Peter_ is the predicate.
a noun + preposition + verb + "I"
>>> r = Sentence(u'the quick brown fox jumps over a lazy dog')
"is larger than". Try it!
'a has a relation 'to the first object of the sentence: to the second, to the third,
I like to play football when I am at home.
“It is the dog’s tail that is curled over the back of the sofa, and the front legs of the dog is also on the seat.”
List<String> sentences = testSamples.stream()
(A, B)
You have to eat a lot...
SentenceFactory.generate("I enjoy watching the movie "
Mary thought that Tim did not like bananas._ This sentence is built with three types of predicates:
in this way it can be read by a simple language and this way it can be used by computers.
"The man and woman have the same father".
The table above shows the frequencies of each letter that occur within each of three columns: “nouns”, “verbs”, and “adjectives” (“adverbs” are words with a modifying function, not a verb; they do not use “n
This sentence contains the relation 'contains' and the relation 'with'. The words 'in' and 'from' also have to be generated.
“I see Tom and Bob” → “I saw Tom and saw Bob”
>>> to = ['to', 'about', 'on', 'at', 'in']
a verb    the relation noun_poss
@itemize
“the father of this boy was very proud…”
<code>R(VAR A, VAR B)</code><br>
a. a <strong>is <br>related to </strong>b <strong>only to </strong>c. d &nbsp;is </strong>the <strong>first one </strong>in &nbsp;the set of all <strong>the second ones </strong>
the main question
[root] <-
"I am _rel_ of my dad" (but "of my dad" is redundant)
(defun create-sentences-with-sentences ()
I asked him how the car is doing.
‘is a child of’. The phrase after the colon is the dependent noun. The first person of either subject or object.”)
$\texttt{example:}$
What is the city, town or village of ‘the village (of the city)’?
SELECT 'John and Bob are friends.'::text as sentence
Sent: My mother lives in France.
@startxml
This is easy with a predicate to define the start_with relation on:
//         {a, b}
-
"The sun is _relating_ to the earth's shadow."
In general, the relation can be used when the two sentences contain
example
<span class="my-sentence">Lorem ipsum dolor sit amet.</span>
I was invited on my last wedding shower to do the cake.
'is/are...'
Sentence(Relation('dear')),
How it looks
‘I love him’ → ‘He loves me’
1.A sentence starts with a noun, pronoun or proper noun.
"My car has a red car in front".
[0m                [0m
"Lions eat meat" --> "Lions eating meat";
I saw a house, and I think the property was for sale.
"Dogs are mammals." [mamals is the correct form of mamalian](https://lgtm.com/github/rhetor/lgtm/issues/10086)
'The man lives at the house. The man is the father of the girl.'
I can do this, but they cannot: that is, a subject-copula-object construction.
- the relation will be <tag> + the word - from - one - the - subject - the - object - the - object's subject - the - object's subject and other words that belong to the verb + a word that belongs to the verb - a noun in the same case as the word you selected -
[BAD] { "battery": "on" }
„X is a Y“.
"The_[Rel] _dog_" is called a grammatical dependency. _"The dog_[Dobj] _wants_[Rel] _to_[Adv] _play_" is called a subordinate predicate clause, and _"A_[Adv] _nice
"is larger than" or "is less than"
"*A* is an element of *B*" (an object is an element of a set)
"The author said that" with
*Example:*
You are working on your book at [home|work] in [Your Town|Boston] right now.
In this recipe we’ll build a sentence with a relation, using the <a> element which is commonly used to indicate links. As usual we have no pre-text (content), as our sentence is only about the relationship. But we’ll see how to deal with this limitation in the
“I’ll read the newspaper. You have to wake up early tomorrow.”
>>> def sentences(wordlist):
Sentences like “Alice is the sister (of Peter)” would generate this query graph. Red edges indicate a single predicate ‘s’ in the logical graph (e.g. ’s’ in relation ‘child’).
Example sentences with the corresponding relations
(rel[:before-or-or-or-after?] "before...") and that (rel "...")
a. in this work of [@bib5] // Example sentence written down.
#include <iostream>
{
“This is a. *
\[ \text{\textbf{\textup{subject}}}_s, \text{\textbf{\textup{verb}}}_v:
the correct verb, the right noun. This task forces you to use both your mental model of how the world works and how you actually behave in the world. When you are able to use both sides of your brain in tandem, you’ll build a deeper skill set.
relation = "isA" | "isAn" | "exactlyEqual" | "hasAttribute"
C.
the president: is the president of _X_?
import re
A=b, B=c and C=a.
Relation = <X,Y,Z>
from coref_util import generate_sentence
Example relation: (father, daughter).
“The player...”
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62
"a is a good [b]"
http://www.cleverness.ai/documentation/cleverness-api/index.html#createSentence
string(1) "a is to b as c is to d"
A man was born in...
Sent: It was the most horrible experience of his life.
sent = nltk.RegexpTokenizer('sentence', nltk.PunctTokenizer)
for example, the relation "is a part of" can mean different things: a sentence generated with the correct "part of" relation could be "The sun is on the ceiling" or "The sun is on the bottom of the floor".
This chapter gives a good introduction to the different options for creating sentence relations. This topic has already appeared in several chapters in this book. In the current chapter, I will add a couple of examples of relations and a section with the options.
'and'
- "We would like to work with" + "a company like" + "Acer."
(2.1) There was a meeting at which she [was not present]. (2.2) In the meeting she [did not speak]. (2.3) From the discussion in the meeting she understood that he [would] (2.4) He talked about how to do her a favour
the "t" word
"is an adverb" (for example "an important" as an adverb)
is a person
* First name is the same as <em>the first name of</em>.
SELECT p.id, p.first, p.last,
[*Bubble*]{} likes [*to*]{} [**eat**]{}.
:
import nltk
The word "and" does **not** match the word "but" in the title or in this sentence. Put the word "but" in place of "and."
a) with respect to, or b) after, c) on behalf of. These are all common and natural ways of saying something about a particular relation between two items, for example, a student and a university. The use of this concept is not limited to one way of saying it; see “Generate
for(int  i = 0; i < textToReplace.length; i++ )
the most prominent
"A is more similar to B than C is".
import spacy
a <b:
(1) The player has played a number of games against Mark (Pronunciation: Mar-k).
Punctuation:
"the *relation of this element to that element is*..."
It is not difficult to see that
print("Generate sentence with a specific relation with " + sentence_id)
(e1) John is a (son of)(e2) The father of John is (Aunt Janet)(e3) Aunt Janet is a (daughter of) (Aunt)(e4) The aunt of Aunt (s) is (Aunt Jane)
"The city name is a place where the city was built."
{<S>,<A>,<R>,<D>,<Y>,<Z>}
(?<=<a[\w\s]+>) (?<=<[\w\s]+>)
sent = nlp(u'Hello, John. (How are you, John?) I am fine. Bye.')[0]
"x is a part of y". The part can either be specified by an expression (e.g. "y = {x}") or by the name of another relation (e.g. "y = {eats,tastes}").
sentence = "I met him at his father's shop when he bought..."
I have a small garden, where I grow vegetables.
If it should be a present article, a present adjective, or a singular noun, that relation should be placed inside this quotation mark. It helps to know how to use this for each of the parts of speech a lot - a lot like you know to use each of the punctuation marks!
{0}, with {1}. {1-2} {3 - 4} {5,6} {7} {8, 9} {10 - 11} {12 - 13} {14- 15} {16} {17 - 18} {19 - 20} {21 - 22} {
<br />
* You have to go buy a new car.
import nltk, random
It's a simple task, you get some text, create a relation, write it and repeat it again and again!
I've seen you with your family last Friday.
> 'The _subject_ of _verb_ in _noun_ is _noun_.'
{
[B-MONEY-N]-[R-PRODUC-N]
For example:
sentence with relation "my son", "was born after I"
1.  \(a\) \(The\) \(cat\) is playing with \(the\) \(dog\).
from sentix.en import sentices, relations
1. 'A boy plays piano' => 'A boy is playing'.
Generating sentences with relations in OpenNMT
A to be C, D to be F, F to be G.
1.     <span class="t">a. the</span><br>    2.     <span class="t">b. more</span><br>    3.     <span class="t">c. than</span
If you are learning the Language of Thought by reading this blog, I hope you are enjoying the journey so far and are looking forward to a few more steps on the road. You can access the table of contents which will allow you the option to navigate between the posts on this site in chronological order. The navigation
You love and your colleague loves as well."
(1) The president of the United States is the commander-in-chief of the United States military.
import nltk
<#p>The <#a>person <#e>that <#p>was <#k>born <#k>decided <#p>to <#d>move <#d>decided <#k>to <#d>move the company in <#
public static <R> Grammar<R> withRelations(
-   ‘who’ with ‘is the brother of’
'A is the father of B'
‘I have a house’.
The sentence is generated using a model of the form `<sentence><relation><generator>: <sentence id>`, where `<sentence><relation><generator>: <sentence id>` is a new sentence in the given context.
In a city center like London or New York, you'll... (go shopping) or... (enjoy the sun) or... (have a meal) or... (walk along the Thames river)
A > X
You need to specify the correct subject for the first sentence.
"This sentence is about the color yellow."
<p>Sentence:<p>Jane is friend to her two brothers John and Mark.<p>Relation:<p>Person 1:John<p>Person 2:Jane<p>Person 3:Mark<p>If we add this relation, would Mary be friend to Jane too since John
<s> that.<t> or <s> is.<t>
"Person is a role"
// Get the relation from your data:
`(a -> b) -> (a * b)`" -> "The `(a -> b)` and the `(a * b)` is both a sentence."
"All the employees at CompanyX are well known, so we can expect a lot of positive reviews from the customers."
John likes movies.
Sentence: The cat plays with the toy.
sentence = String.new
S -> R2 A B S'
A machine is
A woman and her father went to the cinema (a. Relational verb:went + a prepositional phrase:to the cinema) A pair of scissors and the scissors' blade broke (a. Relational Verb: + a prepositional phrase) A pair of scissors broke into two pieces (Rel
(s2,t1,s1)
: `# (:first-name "John" :last-name "Doe")...`
select [Name(rel[0]), Name(rel[1])], [Name(rel[2])] where rel[3]=''
return str(self.sentence).strip() + " " + str(relation)
**$ echo 'The_cat_is_a_dog' | ruby -ne's=''; c=ARGF.read.to_sym; c[0].capitalize;$_=' << $c; s<<''; eval($_) '**
"he saw the house" → "the house was seen" by using this function:
SENTENCE = ["This article introduces several ideas about..."]
sentence('A', 'narrow', 'that', 'C') --> 'That [C is] a narrow a.'
*S~r~ = (S~1~,..., SN, ~r~).*
'I love you' + 'you love me' => 'I love you and you love me'
e.g. "Every student can go home." The most important thing is to use a form of conjugation that suits your grammatical needs. For more grammar explanations, please see this page.
"The President of the United States will not be present at today's session."
Relation: The <rel> is a <relation> between ____ and ____.
Inferior: superior, equal: equal, greater than: greater than, less than: less than
one word with a preposition + one word(or more) with the following verb(or more).
GenerateSentence  relation="<word> <noun-phrase-possessive>" <word>
import re
"I love..." with word _____ and _____"
It's a mistake and I want to correct it.
an introduction" for "Anno della nascita" or "Anno di nascita" would be nice! The other questions could also be answered more appropriately; e.g. a more complete translation could be given or could be clarified using a quotation from an actual text. You could also consider the
a relation will
“This is a (type of) (fruit)”
>>> from nltk.corpus import treebank
The  sentence 'The red one is the cat' would be valid, while 'The blue one is the  blue sea' is invalid, because the 'is/has' connective needs to be preceded by an adjective.
'$(' + b.text + '' + $(this).val() + ')'
“The person X likes the food Y is also the person A likes the person B”
1: The quick brown fox jumps over the lazy dog.
I like to go to the theatre a lot.
Generate sentences with a certain relation
If you are an English-speaker, the main English verb in each sentence of that list is the one that's in the first position of the two words that make up each sentence in the list (the one that's on the left side of the space).
(1) who is younger then (1a) who is the mayor? (1b) who is the vice-Mayor? (2) who is bigger then (2a) who is the president? (2b) who is the vice-president? (3) who is stronger then (3a
"I am the father of you"
public String generateRelation(List<String> sentences, String relation) {
"my mother is my father, therefore I love my mother"
It could be "My brother is taller than my brother", or "I am taller than my brother"." "The tallest is" is the subject of the verb "is"." "The other is" is the object of the verb “is".", or "I am taller than him"." He is
a person and what they have done is very good
**Figure 1.3.3:** Using a noun-adjective-noun construction
"Is a" is a [verb]
“The person in the
SELECT
```ruby
"Who is the author of the book 'The Hobbit'?"
{(}this{)} is {} to {(}that{)}:
'There are several other possibilities which might work' – ( _rel_ a r e)
for(i = 0; i < 5; i++){                                  <-
“I like…” and “I like this…”
“The car is towing the vehicle”
\[ex:generating\] In order to generate the sentence
<unk> has a sister <brother_of a friend> which likes playing soccer<unk> has a husband<unk> which is the sister of the uncle of a friend
'Is similar to...'
In [40]: x = re.sub(r"\t+"," ",s)
For example,
This man has been to France_.
*‘What the authors said…’* or *‘…is like what the authors said…’* in English or other languages
<strong>and or but</strong>"
“I saw this person [a few minutes later]".
‘of’.
"this city _is located in_ the countryside"
Use <a href="https://wordgraph.online">Word Graph online</a> to create a graph sentence. Try also Word Graph print-screen, which prints the sentences on a photo paper.
if I would have a relationship with you, I would be happy. A) A sentence with a RELATION is a NEGATION, or B) A sentence with a RELATION is an ADVERB, or C) A sentence with a RELATION doesn't exist.
def parse_sentence:
I have a cat. My cat has two cats.
(a) a cat is [a] domestic domestic cat. the cat [a] is a [d]. the cat [a] is [a (a [d], cat [a])].
String name = "is the";
'John is taller than Bill'
You already have two other posts.
import re
the relation must occur in the sentence
"this is <$t> ":generate-sentence
<document xmlns='http://example.com/' xml:id='sentence'>
Generate a sentence:
"In which direction is the mountain?"
"The author"          => "The",  "The author"
you
You're not the first person to contact us by: The best way to contact us is through: We don't have an account for you yet, but you can sign up for an account to receive news, updates and promotions.
{ } is { a parent of }.
for (a), (b) and (c) the target was for. The table below displays the results for the different relations.
> *   * `‘That’s’` and `‘my’`.*
You can find details about the construction of the sentences I have generated in this Google spreadsheet which can be accessed by the link below:
1.  \[it:genex:pre\] Given a subject and a verb phrase, generate a sentence where the two words are related. For example, given the subject “cats" and the verb phrase “are" (e.g., “The cats are hungry") you
<b>1/5 - 8/4</b>.
this will be the same as before, except that the sentence will have one of two verbs depending on whether the object is "a car" or "a boy".
for example, we may ask for a
"The user name, '_User', of the object instance, '_MyObject', of
What is the name of the sentence?
$ \rightarrow $
The dog sits
# First we generate a list of the words to be joined by their
@Override
> GenerateSentenceWithRelation('"My dog"@likes "me"^"my"')
“I went to the store and bought a … ” The answer is: “I bought bread and … “
If you have a sentence like "The man hit his wife" what should be the form of the sentence when you want to say that "the man who hit his wife" is the same man as the one in the beginning. I already found out that you have to use singular subject and singular predicate. How to do
<p><b>SUBJECT</b> (John, _, _, _, _)
A sentence can be a relation if it uses "a relation" as a verb and is in the nominative.
>>> re.sub(r'<[^<]{1,}>',r'', '<hello>' +' my cat').lstrip('>').strip('<')
The boy gave the book to the man. I can understand this sentence, it makes sense.
// first, find how long it is.
the <verb> the <subject> the <verb> the <subject>
(1) a part of a, or part of an, (2) a part of the, (3) a part of, (4) a part of =
[source,js]
This book is written by { a Author } and it is about the history of the American Revolution.
"All men are from Mars and women are from Venus"
*What relation is in between the sentences?*
This sentence should only contain nouns.
How can I generate sentences similar to those shown in the screenshot?
I have written a blog post about <subject>.
If John had a girlfriend, it would have been with Sarah...
“All of this can help us identify a common language for the field and establish a forum for bringing the latest tools to bear on the questions that matter to you and your collaborators.”
http://www.dictionary.com/browse/relate
<person> (first one) <is a brother> (second one)
“It is because of the ‘a’ that the ‘b’ and the ‘c’ are". Use a relation to express the cause/reason/reasoning that exists between the main words. This kind of sentence is often used to explain, describe and justify something.
The car drives for the duration of 1 day.
e.g. man-bicycle.
A is_before B with B[:before_pos[:start]] <= A[:start] < B[:end]<= A[:end] and A and B are different. The word after B doesn't have to be part of the sentence.
"My dog's name is John. His birthday is 3-20-1990. John's phone number is 845-654-8701."
Sentence = 'The man ran after the dog.'
What am I? A teacher.
e.g. if you have a sentence with a verb and a noun, use the verb to create a sentence with a relation between the two words. For example:
<ruby>
<http://cl.ly/image2O> **This is a sentence that may help others understand the problem.** A web page is *generated* by a computer program.
She is the mother of_ the _child_ of _her cousin
“John is an owner of this car.”
noun-noun.
A:
The table shows how the verb has been split into two parts: Subject and Object.
<p>Mary's daughter is the President of the club.</p>
>>> sent = "Owen is a carpenter and is married"
<a href="https://play.google.com/store/apps/details?id=com.example.tictoc" target="_blank"><img src="https://play.google.com/intl/en_us/badges/images/generic/en
it should be a noun and a verb.
"The girl has a dog."
a relation between X and Y
E.g. (a) Which is faster?
To understand this sentence, you need to know what the following words are:
(‘The book is set in China’,’It is set in China’) or: (‘the book is set in China’,’It is…’) with help from an API.
SELECT
a noun with a preposition describing its position in the sentence
I, for the first time in my life, ever saw a bear on Thursday. (SV)
(i), (ii),,
public string GenerateSentence(string pre, string relation)
Relation is a way to group objects with each other into a sentence by connecting them with predefined words. You can also have the sentence without predefined words by using the relation parameter in the template.
public void generate(String sentence) {
" _The house is next to the mountain. The mountain is above the river_."
1) The relation of a part of the sentence which states the subject of the sentence:
"Somebody who likes to eat ice cream is called a "ice-cream
SELECT
Generate an opinion with a relation:
"to get to the airport" - "to the airport to" - "you'd better take it to the airline"
John likes Mary. John reads Mary. John eats Mary.
<span style="font-variant:small-caps;">(one thing + some other thing)</span>
<table border="2">
SELECT 'The name' ~'of this car is'
(Relation) (Relation) (Relation) (A1)(A3)
We can see from the above two examples that all of the relations must be mentioned in front of the main head term of the sentence. And if we need more than 2 main head terms, we can simply use the above two.
Example 1: We are at the beach.
Relation, Noun, Adjective
a sentence
"The dog bites the man" in this sentence "the dog bites the man" is the subject "the dog" is the predicate "bitten the man" is the object and "the man" is the subject of the sentence
```lisp
sentence = (np.exp(0.5) - 1.0) + np.exp(0.2) + 1 + np.random.random_sample(size=len(pword[0:2]))
http://www.wordreference.com/en/translate
The relation is. If you want to replace some instances of the relation and create new relations between some other words (or between the same words), first delete the original one. Generate some instances and use this module with -e to create the new relation.
“” is a daughter of “”.
(2) <the patient> <see> <a physician> (3) <the patient> <understand> <the doctor> (4) <The patient believes that her/his> <condition> <is good> (5) <the patient> *<think>* <good> (
"X is a(n) Y"
The [first|second] [sentence in this article|text] is about [the ________ __ of the |topic]. Here [the _ ] is the [topic].
John is the president of Apple.
For any relation, we write : The following sentence is an example of a natural language sentence, not necessarily in formal mathematical logic. Let be the conjunction of and, and let be the negative instance of. By adding a connective, we transform the conjunction into a universal sentence (). Let be a sentence with no negations
We have some <examples@someorganization> in Boston and some <examples@someorganization> in London. Both are located in one of our <examples@someorganization> in Paris, France.
Example: Relation(subject=Mary, object=Mary)
noun, verb, preposition and object
<rel> <thing-of-class> <number-of-properties>
1
1. Insert an `r` (`<r>`)
@example
noun--noun modifier, noun--noun modifier...
(I hope this is in the correct format...)
"This is the second paragraph of the first sentence". The first sentence is "I like cats, dogs, and birds".
this is only for the relation "is similar to" (i.e. no capitalized name).
The idea behind this example is that for some relations (such as ‘is the mother of’) it’s much more clear what’s inside them than outside them. Using templates should make clear what’s inside the templates, and thus, hopefully, make clear what’s inside
To do laundry. For the room_.
And this:
```text
-"is_before"."The car is now_before"."The car is before and_after"
I heard this new [PREDICATE = {a bird, an insect, a cat}]
</p>
This is a picture of an apple, a picture of me.
"be-ing", "was-somtimes-ing", "should-be-doing"
a student of French studies writes in French an essay about a French composer;
‘is a’, ‘lives in’, ‘is on top of’, ‘is composed by’, ‘is responsible for’, ‘is composed of’, ‘has’, ‘are made of’, ‘
The above code generates the sentence:
% Generate a sentence with a relation:
to
[source, lang=”py”]
John, who is younger than (e.g. father of), is bigger than his daughter.
[John like Mary][(Mary like Mary) => John]
val generator: List[(Int, List[(Int, _)])] = {
„The boy is younger than the girl.“
> **What** to make?
</span></pre>
“*S* starts *O*”.
String sentence = "My name is ";
Relation sentence: <a_place_in_the_past> had <some_person> <the_role_of>
{a} _ _       _ <-- a noun
The same
(rel-s/<sentence> 1)
'The <relation> has <adverb>'
'I saw that John saw the cat'
for each of this [object] and that [object] create a predicate
from collections import defaultdict
`'The boy gave water to the
(relabels)_ (and keep it short) and try to have several such ones, so that your reader has more and more to work with. The sentences may not be very original.
e.g., a new kind of music [ *and*]{} a new style \[ *and*]{} (maybe) a new genre, by using the following tokens and/or phrases. The ‘*+*’ sign means that the token or phrase is optional.\
The relative complement and a dummy noun, then an adjective, and finally, a noun.
In this tutorial we will learn how to write a sentence with a relation and apply it to generate text that expresses a particular relation.
What's your name? (Ik zou een nieuwe auto krijgen.)
The boy kissed his stepfather's girlfriend's lips.
Sentences were produced by a student after reading:
"The child is very angry because he is hurt "
a man is taller than a woman
it either takes you from here to there, or from there to here.
</p>
[(I walk (the dog)) => (Walking)]
(a) "A relation is a"
'is'
Example with one attribute and two relations
"a subject S and the object the DATE of the book".
"The woman read the book" "the woman was at the book" "the book is on the table" etc.
Protein → function
#!/bin/bash
"I met..., and we walked together."
The president of the company is also one of the board members of the corporation <> <br>
the <name> model
'a movie is about life, a novel relates to the world, a music record has to do with someone's opinion'. For a relation, we also need to indicate the head-word(s) (i.e. the subject if the sentence is a nominal) and one or more object-words (i
I would like   to visit   a   country  .   I want to go to Australia, because I've always wanted to visit there!
I'll be attending the conference, it's called <RelName>, and it's in London.
"My name is John Smith. John lives nearby with his parents. He's the oldest of three children. He likes to play soccer; to play football; to play basketball. His favorite color is red. He hates yellow."
S is related to R to T.
The company’s sales manager is pleased with
'*be at work*'
an alternative to generating a list of items (examples) from a sentence or a corpus
rel_from = 'to be' or 'have been'
a=b and b=c. The generated sentence may contain "a is an"; "a=b" and "b=c".
{<span
**
<http://goo.gl/iRpDU>
'is' or 'is not' {#Sec1}
val a: RNN[Bags, Word] = RNN[Bags, Word]()(
Sentence : *Tom likes Tom’s daughter, but Tom is not Tom.
a) a verb,
$<$John likes Mary$>$
This is very similar to the previous, but we will use the relation that we have seen earlier. There will be two relations in the sentence: <Rel(“This”, “is”, “similar”) and <Rel(“to”, “
Sentence: The girl and the dog ran through the park.
The [person] [verb] the [thing].
I’m-a-tuber => I am a user"
"I do not like chocolate".
>>> myRelation("some","value",["name","people"])
[subject], which [verb] does [object]; [verb] is a [verb] and [adjective] of [object]
\[0pt\]\[0pt\][^1] The number of people who like [[Apple]{}]{} is very *(rel-adverb)*
SELECT Id::NUMBER AS Id FROM TABLE WHERE Id = :Id;
Sentence:   This car is a fast car.
(in) –> (out)
"I want to have a [adjective] [noun]"
SELECT
rel_ "S,NP[1]" "O,NP[2]"
> **spacy generateSentence('The dog bites the man.')**
sentence['relation'] = alexa_core_utils.get_relation_from_lexeme('a', 'the') # Returns: the
To express that your computer is able to play all videos on Youtube, simply enter the question “Do my computer play Youtube videos?” and the correct answer is “yes.” Note: You can also use “can” or “can’t.”
the relationship between a group of nouns (like a committee) and a second set of nouns (“the members of the committee”)
I was able to sell my car.
Sentence: [A] is [the father of] [B].[B] is [the husband of] [A]
Generate a sentence with a relation: If you put this book in the library, it will be much more beautiful.
"My name is Peter. I was born on the 19th of May 1976. I am the older brother of Mary." (The verb "was" refers to the time before the sentence was generated.)
It is a relation to which “it is necessary to add the adjective it is necessary to add”, you need to add. [You need to add]
[‘is a member of’, ‘was a resident of’]
This is the answer.
A, but A, to say that and A to mean the same.
{(0, 0, "a is taller than", "a is smaller than", "a is smaller than", 2.5, 1.5)}
[ [a,b]_r [c,d]
A. 'Which of the houses does not have a wall?'
SELECT
I like to play guitar
I saw her last week, I saw her this morning, she was in a movie I saw last week, she was at a party last week,...
If he was a lawyer, he was one of the best.
-   the relation :
the correct position is where the other element of the relation occurs.
[source, ruby]
E.g. This is not a real sentence.
'Noun verb'
Example of the sentence to be generated: {person.persona=John Smith}
What we need:
Ich spreche Deutsch [= I speak German
(a is the parent of b, b is the son of a, etc.)
SELECT sentence
>>> print("I often read books when I am bored.")
<br/>
The king of France and the queen of England are married.
?    what.kind.of.a.movie.is.it.generating.1
<s> is the name of the relation
$$\mbox{R} + \mbox{NP} + \mbox{VP} \overset{(v)}\to \mbox{PP}$$
for and on.
(A) and (V)
it would change a relationship.
- a sentence is a string of characters consisting of a
"John likes cars more than houses"
"John likes Mary"?
A word "a" is associated with a word "b" by a [rel=a] tag. The relation is one to many (a word can be associated with multiple words).
[n] -[rel]-> [first] [second]
[x-to y-for z]
For this example I will use
SELECT `t1`.*, `t2`.`type`, `t2`.`subtype`,
<strong> - <em>
in this case, we say that 'A is-B' (A is related to B). Generate a sentence with a relation: in this case, we say that 'A is-not-B' (A is not related to B). Generate a sentence with a relation: in this case, we
I see her.
Cats that sleep at the foot of the bed have the bed cleaned.
The *n*-grams *d*~*i*~(*a*, *i*= 1,\...2*n*), *i*= 0 are assigned to all tuples (*l*, *a*, *r*), where *r*≥ *n*and
A:
The train left at 11:50 am from  location A and moved to  location B and arrived at 11:59 pm at location B.
"What do you want to do? " (I want to go to the store)
1
"The authors in  _Noun Phrase_ have studied the problem."
<p><span style="font-size:14.0pt;font-family:'Times New Roman',serif;
[x, y1] + [x, y2] => [x, x y1 y2]
<br>
"The man is the driver of the car that was hit"
one with the relation of the verb "to be" (e.g. "it is beautiful") and a predicate. There can be a second relation, a third, and so on. The task is to generate the last word on a new line, then print that word at the end of the sentence. So
from nltk.corpus import stopwords
[g - 1]
For example, if we ask the computer to generate the sentence
a sentence has a father
def relation_sentence_generator(num_topics, num_sentences):
I was with them and they were with me.
[1,2,3] "belongs_to" [4,5], "hobbies" ["football", "soccer"]
'to', 'from' or 'as'</a>
John has a friend that is a neighbor. The main part of the sentence is "John has a friend that is a neighbor." Let's look at a couple different sentences that try to make this main part of the sentence more concrete:
SELECT 'I love you, too.'::text + '.' AS sentence
If we want to use the adjective "obvious", we do not just say: "this is obvious". We also describe with something like: "It is obvious that...", "The fact is...", or "it seems to us clear that  X ", but not "We just can see that".
$$
SELECT
`a + b + c + d + e`. We use that `a + b` is a noun and `e` is its modifier.
"Bob is a married man and Mary's husband was a sailor."
The man walked into the store and asked for a hat.
SELECT SUBSTRING(sentences,PATTERN,LEAST(PATTERN,MATCH(sentences))) FROM sentences WHERE PATTERN='(?s x?) (?s y?)'
the father of the mother of the daughter of the son of the daughter = daughter
"This is a _relation_ between a _relation_ between a _relation_ and a _relation_."
Noun + Relation + Noun
“My favorite game is ___, __________.” (“game” can be replaced by another word than “______”)
from lxml import etree
<http://www.derby.nl>
'My sister, who works at the bank, is better at playing tennis than me.'
"This book is interesting".
I like her.
"The person is a musician"
"and"
The person is the same as the product that I have purchased
"is".
What could be the next line?
"x is a kind of y".
<code>
noun + verb + noun (“is playing”)
a/ the first is <the second>
The boy is with the man.
to-for from "I don't eat the dog," "the mouse" "a mouse eats" "A mouse eats the dog," "a dog bites the cat" "The cat bites the dog" from
You <s> must get me a pizza.</s>
Example:
"The man is the brother."
<a href="tasks:add%20`%5B`&quot;<%=
(sentence "the bird is the biggest part of the animal";
String myString = "Peter runs in the park.";
e.g., "this video shows us a beautiful girl doing this to this boy"
I.e. from:
If you are an experienced developer and want to be part of a dynamic team of programmers, send me your profile.
*I was the (boy) / (girl) in her class.*
The movie _Inception_ (2010) is a sci-fi film, and its characters are thieves.
a(e) <=> e.has_keyword("s") (1-0)
In this article, we consider the problem of relation extraction (RE) in sentences. We start by reviewing a basic RE architecture, and introduce the RE-RDF (Mendelovitz et al, 2003) semantic representation and an associated RE module. Using the extracted relations, we then formulate sentence completion
(Generator) \[samples\] a a i a a
“He is a... of a place called...": We do not need a sentence such as that generated for sentence $S_4$ to illustrate this. This is a case where the system produces the required structure, which is not a sentence.
It's the beginning of spring and the days are getting longer.
The president was born in the United States (born/USA).
var sentence = new Sentence("The cat sat on the chair");
'My house is near the ocean'.
- Generate a sentence with two words
a simple application example {#appendix-A}
"to have seen"
[{<name> <relation> <role>}]
You will know you’re getting there when your generated sentence has
"is-a", "not-a", "in-a-group-a", "not-in-a-group-a", "has-a", "has-not-a" for a specified subject.
"A lot of men like the red color because many women... they like flowers."
<br><font size="2">"Nombre" should be translated to "Name", and
'be' (a person with a certain characteristic) / 'have' (the characteristic) + 'a sentence with an adjective' (I am an old boy/girl).
"I am an engineer" or "I live in the USA" or "I am married to Mary"
SentenceGenerator(tagger1,tagger2,sentences):
"The cat has eaten the milk and there is a bit of ice cream on the floor".
SELECT (‘the’ ~ ‘man’  -> ‘the’) + ‘has’     —– Result: he has
“<span style="font-variant:small-caps;">of</span>” and the predicate that the relation “<span style="font-variant:small-caps;">to</span>” is used on.
for example “this is a city in which the name of
<select onchange="javascript:showAnswers(this.value)">
the verb 'to possess'. What is a verb? Well here is what your browser says about the verb possess:
from nltk.probability import FreqDist
{#generate-a-sentence-with-a-relation.unnumbered}
select rnd
x = """The <x> is a <y> which is a <z>. """
* `The [verb] [noun] [noun] has [noun] [adv] <eod>`
(2) The president of the company was married to the lawyer.
[to]
\documentclass[12pt]{article} % font size = 12pt
I_liked_X_very much_, X_is_very_fat
"I'm doing better / I'm getting better / I'm improving / etc."
‘I am in a relation to you’
the number of the children < the number of the parents
"*" in this case with "reln:before".
\[ \begin{array}{l}
"is_a_(animal,_dog)<http://turtle.nabble.com/Is-a-sentence-with-a-relation-td17989844.html>__" (click _edit_button and submit the form).
$\mbox{S}_1: \quad \exists \mathbf{s}: \quad \rho_1(s_A, \mathtt{I}, s_B) = \exists x:  \quad  \mathbf{p}(s
"The boy... the flower".
(2+1) is twice greater than 2
'possess'
<?cnpchar_gen sentence="I like to buy apples.">
"The book was bought in the car.", "The car was bought in the book" or "The book was bought by the book".
SELECT 'This is an '||
‘has’. (this sentence’s words will be replaced with words from the list).‘h’,‘has’
I love to play golf with the members of a golf club.
def extract_sentence_with_relation(tweet):
'be,' and then click the button 'Add Relation'."
I like to play football and I would like to meet you.
"A dog's tail wags back and forth"
If a cat is sitting on a mat, the mat is not furry
<form id="input_form">
.P
The relation is "like" with the relation to the number.
For example, you can say:
"is called" from the given list.
For every sentence:                            if the string “X” is in a sentence, then generate “X
"X is a type of Y" - in this case, it is a type of car X, which may or may not be a type of a car Y. (It's okay if it's a type of an animal!) X and Y can be single-word or multi-word phrases
1.  `<p>The <em>student</em> took <em>lesson</em> for <em>grade</em>'
(a:x, b:y)_, where _a_ is a relation argument, _b_ is the same as the second head of _a_ and each object in that argument is replaced by the second object of that argument. If _k_ is the number of arguments in a relation,
{Relatorios: {genera: {relatorio_generado: {name: <Generated_relatorio>, id: <generated_relatorio_id>, dataEmissao: <emissao_do_relatorio_gen>, campo_de_generac
The <a href=\"#\" onclick=\"return Popup(this);\">example</a>
> [`newRelation()``-generate()`]{} <span style="font-variant:small-caps;">(input, output)</span>\
If there already was a sentence, append it so:
I.e. the subject is a (particular) sentence and the object is a (particular) word. Please, please no "samples"  :)  ) The answer doesn't have to be an answer for every case, just a general example of how such sentences are being generated in
<foaf:Person>_    John</foaf:Person>
To do something.
an overview, on top of a survey
<http://www.clips.uantwerpen.be/media/examples/generateSentence/>
<span class="quote">“<span class="quote">‘it is a relation’</span>”</span>
If I am good at French, I know I can speak the language.If I am good at playing football, I can play football.
"You are a good person", and then you will have to create a model that matches this knowledge graph, if the graph does not exist it will be created. In this tutorial, we will develop the model, but this is the best way to approach this problem, let it be any other model (such as simple
a phrase in this sentence should express a relation between two expressions.
<x> is <y/> where <x> (2,2) and <y> is a relation between 2
// `x.text_value:y.text_value`` in which `text_value` is a keyword
‘is-a’, ‘contains’ etc.
"the" is a preposit ("ad", "ant" in Spanish)
```r
Ich kenne mich nicht aus.
You know the thing; and the
"he bought the car"
<http://clarke.demon.co.uk/jquery-ajax/test-json.html>
- A man is taller that his brother. - John is a son of John’s mum. - a and b are friends. + is an adjective.
A sentence (a) is true
* Word: the first word in the text for which you have a head, which will be transformed as a predicate;
```html
a < b.
<b>and</b>, <b>or</b>, <b>not</b>, <b>that</b>, <b>but</b>, <b>where</b>, and <b>when</b> in English.
import re
'He is better able to.' → 'He is better able to do something' and 'He is better able to do something than another man.' → 'He is better able to do something than another man is'
I am her husband",
<![CDATA[ +
"The" - (rel) "love" - "it" (object)
[“I see (that) you have a beard” / “I am looking at the woman with the blue hat” / “My uncle is the one who is tall” / “The bus stops in front of the university” / “I know (that
If a car is bought, then a car dealer sells it.
-1 : a sentence -0.5 : The sentence -0.4 : one of the sentences *The sentence 0 : The sentence 0.5 : one of the sentences 0.4 : both of the sentences
A: The [Noun] eats [Verb] for food = He eats bread
1 sentence per form.
'x, y'
'A person with a <sentence> is <attitude>.'
For each of the below (in this order):
<br /> <span class="codeblock"> <span data-type="example"> </span><p>I think.  </p><span class="codeblock"> </span> <span data-type="example"> </span><p>I am so <span class="code">awesome</
[('rel_a', 'with','rel_b')...][0]
‚x is related to y‛.
"X" "Y" "Z"
(t
[1] <em>is like_</em> [2]-[21]
'The dog sleeps with the cat'
"is" or "can". For example, "is" between an adult dog and a child would be: "<adult dog> is/<child>".
How do I know and say how to put some words together to show this?
e.g. Mary likes chocolate :
This sentence describes "the way", "the place from which" the "way towards"
“beg/begins”
The <word> relation is used to specify that one object is related to a
for example, the product and the author has relations. I would like the result in the form like: The company has 2 authors, and 1 of them has written 2 books.
This example uses two relations: one for the subject and one for the verb.
>>> from nltk.sem.tree import generate
<?php
"I have a lot of... that means I have..."
e.g. is_part, is_subset of, is...
from sent2wordlist.data.data_p2r_pairs import Sent2WordList
<ul>
for example, I'm your favorite person.
'I play a sport' vs. 'Some persons play a sport' (and other similar sentences)
`x is an instance of y`
It has_, _The
`'the cat is sitting on the mat'`
'is taller than': Generate a sentence with a type: 'is tall': [I can go up...] Generate a sentence with a relation: 'is shorter than': Generate a sentence with a type: 'is short': [I have to go down...] Generate a sentence with a relation
‘to the east of Italy’, ‘to the north of Germany’, etc’.
*John loves Mary*. The next time you meet John and Mary, you might ask them what they were doing when you last saw them together. You get a reply like this: *We were watching TV*.
"A is-B"
'has children', and an optional
**Input**: {“a,” “a, I,” “b,” “b,” “a, a,” “a,” “b,” “b,” “a,c
========================================
N, A, or R
In this article, we will show how to generate a sentence with a relation in Python. A general algorithm is shown below to get an idea:
<a href="#id27">(with)</a> John was happy to <a href="#id28">(with)</a> meet his new friends.
"The apple falls on John's head and makes him angry".
"She was at the door in her pajamas, looking for her shoes..."
A: A relation of nouns.
John is working as a programmer. *as a programmer -> programmer
For the sake of brevity, I will show you a real-world example:
<br>
SELECT