Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Jay Pujara

AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction

Sep 10, 2021
Dong-Ho Lee, Ravi Kiran Selvam, Sheikh Muhammad Sarwar, Bill Yuchen Lin, Mahak Agarwal, Fred Morstatter, Jay Pujara, Elizabeth Boschee, James Allan, Xiang Ren

* 10 pages, 12 figures, Best paper at [email protected] 2021 and presented at [email protected] 2021 

  Access Paper or Ask Questions

Table-based Fact Verification with Salience-aware Learning

Sep 09, 2021
Fei Wang, Kexuan Sun, Jay Pujara, Pedro Szekely, Muhao Chen

* EMNLP 2021 (Findings) 

  Access Paper or Ask Questions

Retrieving Complex Tables with Multi-Granular Graph Representation Learning

May 04, 2021
Fei Wang, Kexuan Sun, Muhao Chen, Jay Pujara, Pedro Szekely

* Accepted by SIGIR 2021 

  Access Paper or Ask Questions

Probing Causal Common Sense in Dialogue Response Generation

Apr 21, 2021
Pei Zhou, Pegah Jandaghi, Bill Yuchen Lin, Justin Cho, Jay Pujara, Xiang Ren

* This article has been withdrawn by the authors. The submitted version was an early draft that has errors in the results which renders the analysis invalid 

  Access Paper or Ask Questions

Representing Numbers in NLP: a Survey and a Vision

Mar 24, 2021
Avijit Thawani, Jay Pujara, Pedro A. Szekely, Filip Ilievski

* Accepted at NAACL 2021 

  Access Paper or Ask Questions

Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources

Mar 21, 2021
Ninareh Mehrabi, Pei Zhou, Fred Morstatter, Jay Pujara, Xiang Ren, Aram Galstyan

  Access Paper or Ask Questions

Can BERT Reason? Logically Equivalent Probes for Evaluating the Inference Capabilities of Language Models

May 02, 2020
Pei Zhou, Rahul Khanna, Bill Yuchen Lin, Daniel Ho, Xiang Ren, Jay Pujara

* 15 pages, 11 figures. Work in progress 

  Access Paper or Ask Questions

Human-like Time Series Summaries via Trend Utility Estimation

Jan 16, 2020
Pegah Jandaghi, Jay Pujara

  Access Paper or Ask Questions

Using Noisy Extractions to Discover Causal Knowledge

Nov 16, 2017
Dhanya Sridhar, Jay Pujara, Lise Getoor

  Access Paper or Ask Questions

Generic Statistical Relational Entity Resolution in Knowledge Graphs

Jul 04, 2016
Jay Pujara, Lise Getoor

* In the Sixth International Workshop on Statistical Relational AI, 2016 

  Access Paper or Ask Questions

Adaptive Neighborhood Graph Construction for Inference in Multi-Relational Networks

Jul 02, 2016
Shobeir Fakhraei, Dhanya Sridhar, Jay Pujara, Lise Getoor

* Presented at SIGKDD 12th International Workshop on Mining and Learning with Graphs (MLG'16) 

  Access Paper or Ask Questions