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What Makes a Good and Useful Summary? Incorporating Users in Automatic Summarization Research.

, , and . NAACL-HLT, page 46-75. Association for Computational Linguistics, (2022)

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Modelling and Detecting Changes in User Satisfaction., , , and . CIKM, page 1449-1458. ACM, (2014)Overview of the TREC 2016 Contextual Suggestion Track., , , , and . TREC, volume 500-321 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2016)Search-Oriented Conversational AI (SCAI)., , , and . ICTIR, page 333-334. ACM, (2017)Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback., , , , , and . EACL (Findings), page 1306-1321. Association for Computational Linguistics, (2024)Guided Dialogue Policy Learning without Adversarial Learning in the Loop., , , , , , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 2308-2317. Association for Computational Linguistics, (2020)MAISoN 2019: The 3rd International Workshop on Mining Actionable Insights from Social Networks., , , and . ICTIR, page 260-261. ACM, (2019)IDAT: A Multi-Modal Dataset and Toolkit for Building and Evaluating Interactive Task-Solving Agents., , , , , , , and . CoRR, (2024)An Easter Egg Hunting Approach to Test Collection Building in Dynamic Domains., , , , and . EVIA@NTCIR, National Institute of Informatics (NII), (2016)Using Contextual Information to Understand Searching and Browsing Behavior.. SIGIR, page 1059. ACM, (2015)Second International Workshop on Conversational Approaches to Information Retrieval (CAIR'18): Workshop at SIGIR 2018., , , , and . SIGIR, page 1435-1437. ACM, (2018)