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Understanding Narratives through Dimensions of Analogy



Thiloshon Nagarajah , Filip Ilievski , Jay Pujara

* IJCAI 2022 workshop on Qualitative Reasoning 

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FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue



Alon Albalak , Yi-Lin Tuan , Pegah Jandaghi , Connor Pryor , Luke Yoffe , Deepak Ramachandran , Lise Getoor , Jay Pujara , William Yang Wang

* code available at https://github.com/alon-albalak/TLiDB 

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Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-modal Knowledge Transfer



Woojeong Jin , Dong-Ho Lee , Chenguang Zhu , Jay Pujara , Xiang Ren

* Accepted to ACL 2022, 13 pages, 4 figures 

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Evaluating Machine Common Sense via Cloze Testing



Ehsan Qasemi , Lee Kezar , Jay Pujara , Pedro Szekely


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Think Before You Speak: Using Self-talk to Generate Implicit Commonsense Knowledge for Response Generation



Pei Zhou , Karthik Gopalakrishnan , Behnam Hedayatnia , Seokhwan Kim , Jay Pujara , Xiang Ren , Yang Liu , Dilek Hakkani-Tur

* 13 pages, 2 figures, 7 tables 

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Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER



Dong-Ho Lee , Mahak Agarwal , Akshen Kadakia , Jay Pujara , Xiang Ren

* 7 pages, 4 figures, 4 tables 

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Commonsense-Focused Dialogues for Response Generation: An Empirical Study



Pei Zhou , Karthik Gopalakrishnan , Behnam Hedayatnia , Seokhwan Kim , Jay Pujara , Xiang Ren , Yang Liu , Dilek Hakkani-Tur

* Accepted at SIGDIAL 2021. 12 pages, 5 tables 

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AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction



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 

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Table-based Fact Verification with Salience-aware Learning



Fei Wang , Kexuan Sun , Jay Pujara , Pedro Szekely , Muhao Chen

* EMNLP 2021 (Findings) 

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Retrieving Complex Tables with Multi-Granular Graph Representation Learning



Fei Wang , Kexuan Sun , Muhao Chen , Jay Pujara , Pedro Szekely

* Accepted by SIGIR 2021 

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