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Task Completion Detection: A Study in the Context of Intelligent Systems.

, , and . SIGIR, page 405-414. ACM, (2019)

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Understanding User Behavior For Document Recommendation., , , , , , and . WWW, page 3012-3018. ACM / IW3C2, (2020)AttitudeMiner: Mining Attitude from Online Discussions., , and . HLT-NAACL, page 33-36. The Association for Computational Linguistics, (2012)WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding., , , and . NAACL-HLT, page 873-899. Association for Computational Linguistics, (2022)Using Citations to Generate surveys of Scientific Paradigms., , , , , , , and . HLT-NAACL, page 584-592. The Association for Computational Linguistics, (2009)Beyond DCG: user behavior as a predictor of a successful search., , and . WSDM, page 221-230. ACM, (2010)EcoAssistant: Using LLM Assistant More Affordably and Accurately., , , and . CoRR, (2023)Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News., , , , , , and . CoRR, (2020)Enhancing personalization via search activity attribution., , , and . SIGIR, page 1063-1066. ACM, (2014)AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning., , , , , , and . EMNLP, page 5744-5760. Association for Computational Linguistics, (2022)Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models., , , , , , , , and . ACL (Findings), page 1762-1773. Association for Computational Linguistics, (2023)