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Analyzing the Semantic Types of Claims and Premises in an Online Persuasive Forum.

, , , , and . ArgMining@EMNLP, page 11-21. Association for Computational Linguistics, (2017)

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AMPERSAND: Argument Mining for PERSuAsive oNline Discussions., , , , and . CoRR, (2020)Kani: A Lightweight and Highly Hackable Framework for Building Language Model Applications., , , and . CoRR, (2023)NewsQs: Multi-Source Question Generation for the Inquiring Mind., , , , , , , and . CoRR, (2024)Towards Augmenting Lexical Resources for Slang and African American English., , and . VarDial@COLING, page 160-172. International Committee on Computational Linguistics (ICCL), (2020)AMPERSAND: Argument Mining for PERSuAsive oNline Discussions., , , , and . EMNLP/IJCNLP (1), page 2933-2943. Association for Computational Linguistics, (2019)FanOutQA: Multi-Hop, Multi-Document Question Answering for Large Language Models., , , and . CoRR, (2024)Rewriting the Script: Adapting Text Instructions for Voice Interaction., , , and . Conference on Designing Interactive Systems, page 2233-2248. ACM, (2023)Analyzing the Semantic Types of Claims and Premises in an Online Persuasive Forum., , , , and . ArgMining@EMNLP, page 11-21. Association for Computational Linguistics, (2017)Grounded Intuition of GPT-Vision's Abilities with Scientific Images., , and . CoRR, (2023)Confirming the Non-compositionality of Idioms for Sentiment Analysis., and . MWE-WN@ACL, page 125-129. Association for Computational Linguistics, (2019)