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Emotion-Cause Pair Extraction in Customer Reviews


Dec 07, 2021
Arpit Mittal, Jeel Tejaskumar Vaishnav, Aishwarya Kaliki, Nathan Johns, Wyatt Pease

* 7 Pages, 8 Figures 

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FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information


Jun 10, 2021
Rami Aly, Zhijiang Guo, Michael Schlichtkrull, James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal


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Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets


Oct 25, 2019
Esma Balkir, Masha Naslidnyk, Dave Palfrey, Arpit Mittal

* 8 pages, 3 figures, accepted at EMNLP 2019 

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Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning


May 29, 2019
Daniele Bonadiman, Anjishnu Kumar, Arpit Mittal


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Generating Token-Level Explanations for Natural Language Inference


Apr 24, 2019
James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Arpit Mittal

* Accepted at NAACL2019 

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Learning When Not to Answer: A Ternary Reward Structure for Reinforcement Learning based Question Answering


Apr 03, 2019
Fréderic Godin, Anjishnu Kumar, Arpit Mittal

* Accepted at NAACL 2019. Version 1 was presented at NIPS 2018 workshop on Relational Representation Learning 

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The Fact Extraction and VERification (FEVER) Shared Task


Nov 30, 2018
James Thorne, Andreas Vlachos, Oana Cocarascu, Christos Christodoulopoulos, Arpit Mittal

* Revised from published version in the proceedings of the FEVER workshop at EMNLP 2018 

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Demand-Weighted Completeness Prediction for a Knowledge Base


Apr 30, 2018
Andrew Hopkinson, Amit Gurdasani, Dave Palfrey, Arpit Mittal

* To appear in NAACL-HLT 2018 

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FEVER: a large-scale dataset for Fact Extraction and VERification


Apr 16, 2018
James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Arpit Mittal

* Camera ready version to appear at NAACL2018. Data is released on http://fever.ai 

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Simple Large-scale Relation Extraction from Unstructured Text


Mar 24, 2018
Christos Christodoulopoulos, Arpit Mittal

* To be published in LREC 2018 

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