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Retrieval-guided Counterfactual Generation for QA



Bhargavi Paranjape , Matthew Lamm , Ian Tenney


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Prompting Contrastive Explanations for Commonsense Reasoning Tasks



Bhargavi Paranjape , Julian Michael , Marjan Ghazvininejad , Luke Zettlemoyer , Hannaneh Hajishirzi

* ACL 2021 Findings 

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EASE: Extractive-Abstractive Summarization with Explanations



Haoran Li , Arash Einolghozati , Srinivasan Iyer , Bhargavi Paranjape , Yashar Mehdad , Sonal Gupta , Marjan Ghazvininejad


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FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation



Kushal Lakhotia , Bhargavi Paranjape , Asish Ghoshal , Wen-tau Yih , Yashar Mehdad , Srinivasan Iyer


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An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction



Bhargavi Paranjape , Mandar Joshi , John Thickstun , Hannaneh Hajishirzi , Luke Zettlemoyer


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Entity Projection via Machine Translation for Cross-Lingual NER



Alankar Jain , Bhargavi Paranjape , Zachary C. Lipton


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Weighted Global Normalization for Multiple Choice ReadingComprehension over Long Documents



Aditi Chaudhary , Bhargavi Paranjape , Michiel de Jong


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SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations



Dheeraj Mekala , Vivek Gupta , Bhargavi Paranjape , Harish Karnick

* 10 pages, 5 figures. Update: Added results on Information Retrieval and Topic Coherence with Discussion 

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