Pontus Stenetorp

University College London

Names

How do you usually write your name as author of a paper? Also add any other names you have authored papers under.

Pontus Stenetorp (Preferred)
,
Pontus Lars Erik Saito Stenetorp
,
Pontus Lars Erik Stenetorp

Emails

Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.

****@nii.ac.jp
,
****@stenetorp.se
,
****@cs.ucl.ac.uk
,
****@is.s.u-tokyo.ac.jp
,
****@gmail.com

Education & Career History

Enter your education and career history. The institution domain is used for conflict of interest detection and institution ranking. For ongoing positions, leave the end field blank.

Associate Professor
University College London (ucl.ac.uk)
2021Present
 
Lecturer
University College London (ucl.ac.uk)
20182021
 
Senior Research Associate
University College London (ucl.ac.uk)
20172018
 
Research Associate
University College London (ucl.ac.uk)
20152017
 
Postdoctoral Research Fellow
University of Tokyo (u-tokyo.ac.jp)
20132015
 
Special Project Research Associate
National Institute of Informatics (nii.ac.jp)
20132013
 
PhD student
University of Tokyo (u-tokyo.ac.jp)
20102013
 
MSc Eng Student
Royal Institute of Technology (KTH) (kth.se)
20052010
 

Advisors, Relations & Conflicts

Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.

Postdoc Advisor
Sebastian Riedel
****@cs.ucl.ac.uk
20152018
 
Postdoc Advisor
Yoshimasa Tsuruoka
****@logos.t.u-tokyo.ac.jp
20132015
 
PhD Advisor
Aizawa Akiko
****@nii.ac.jp
20112013
 
PhD Advisor
Junichi Tsujii
****@is.s.u-tokyo.ac.jp
20102011
 

Expertise

For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing

Machine Reading Comprehension
2015Present
 
Deep Learning
2012Present
 
Natural Language Processing
2009Present
 
Computational Linguistics
2009Present
 
Biomedical Natural Language Processing
20092015