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PREME: Preference-based Meeting Exploration through an Interactive Questionnaire.

, , , , , , and . EACL (Findings), page 331-342. Association for Computational Linguistics, (2023)

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Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News., , , , , , and . CoRR, (2020)EcoAssistant: Using LLM Assistant More Affordably and Accurately., , , and . CoRR, (2023)Using Citations to Generate surveys of Scientific Paradigms., , , , , , , and . HLT-NAACL, page 584-592. The Association for Computational Linguistics, (2009)WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding., , , and . NAACL-HLT, page 873-899. Association for Computational Linguistics, (2022)AttitudeMiner: Mining Attitude from Online Discussions., , and . HLT-NAACL, page 33-36. The Association for Computational Linguistics, (2012)Understanding User Behavior For Document Recommendation., , , , , , and . WWW, page 3012-3018. ACM / IW3C2, (2020)Beyond DCG: user behavior as a predictor of a successful search., , and . WSDM, page 221-230. ACM, (2010)SummerTime: Text Summarization Toolkit for Non-experts., , , , , , , and . EMNLP (Demos), page 329-338. Association for Computational Linguistics, (2021)Detecting Subgroups in Online Discussions by Modeling Positive and Negative Relations among Participants., , and . EMNLP-CoNLL, page 59-70. ACL, (2012)Fairness via Representation Neutralization., , , , , and . NeurIPS, page 12091-12103. (2021)