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Using Question Answering Rewards to Improve Abstractive Summarization.

, , , , and . EMNLP (Findings), page 518-526. Association for Computational Linguistics, (2021)

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Using Question Answering Rewards to Improve Abstractive Summarization., , , , and . EMNLP (Findings), page 518-526. Association for Computational Linguistics, (2021)Summary Grounded Conversation Generation., , , , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 3748-3756. Association for Computational Linguistics, (2021)On the Retrieval of Wikipedia Articles Containing Claims on Controversial Topics., , , , , and . WWW (Companion Volume), page 991-996. ACM, (2016)Unsupervised corpus-wide claim detection., , , , , and . ArgMining@EMNLP, page 79-84. Association for Computational Linguistics, (2017)The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers., , , , , , and . ACL (1), page 10406-10420. Association for Computational Linguistics, (2023)Towards an Integrated Approach to Music Retrieval., , , , , , and . IRCDL, page 80-87. DELOS: an Association for Digital Libraries / Department of Information Engineering of the University of Padua, (2009)TWEETSUMM - A Dialog Summarization Dataset for Customer Service., , , , , and . EMNLP (Findings), page 245-260. Association for Computational Linguistics, (2021)A unified inverted index for an efficient image and text retrieval., , , and . SIGIR, page 814-815. ACM, (2009)Searching in an XML Corpus Using Content and Structure., , , , , , , and . INEX, page 46-52. (2003)Beyond basic faceted search, , , , , , , , , and . Proceedings of the international conference on Web search and web data mining, page 33--44. New York, NY, USA, ACM, (2008)