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Zero-shot Topical Text Classification with LLMs - an Experimental Study.

, , , , , , , , , , and . EMNLP (Findings), page 9647-9676. Association for Computational Linguistics, (2023)

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Zero-shot Topical Text Classification with LLMs - an Experimental Study., , , , , , , , , and 1 other author(s). EMNLP (Findings), page 9647-9676. Association for Computational Linguistics, (2023)A Large-Scale Dataset for Argument Quality Ranking: Construction and Analysis., , , , , , and . AAAI, page 7805-7813. AAAI Press, (2020)Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancy., , , , , , , , , and . EACL (Findings), page 1328-1340. Association for Computational Linguistics, (2023)Towards an argumentative content search engine using weak supervision., , , , and . COLING, page 2066-2081. Association for Computational Linguistics, (2018)Unsupervised corpus-wide claim detection., , , , , and . ArgMining@EMNLP, page 79-84. Association for Computational Linguistics, (2017)Automatic Argument Quality Assessment - New Datasets and Methods., , , , , , , , and . EMNLP/IJCNLP (1), page 5624-5634. Association for Computational Linguistics, (2019)Towards Effective Rebuttal: Listening Comprehension Using Corpus-Wide Claim Mining., , , , , , , , , and . ArgMining@ACL, page 58-66. Association for Computational Linguistics, (2019)The workweek is the best time to start a family - A Study of GPT-2 Based Claim Generation., , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 528-544. Association for Computational Linguistics, (2020)