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MIDAS at SemEval-2019 Task 9: Suggestion Mining from Online Reviews using ULMFit.

, , , , , , , , and . SemEval@NAACL-HLT, page 1213-1217. Association for Computational Linguistics, (2019)

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Thinking Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models., , , , , , and . CoRR, (2024)MIDAS at SemEval-2019 Task 6: Identifying Offensive Posts and Targeted Offense from Twitter., , , , , , , and . SemEval@NAACL-HLT, page 683-690. Association for Computational Linguistics, (2019)HyHTM: Hyperbolic Geometry-based Hierarchical Topic Model., , , , , and . ACL (Findings), page 11672-11688. Association for Computational Linguistics, (2023)Evaluating the Efficacy of Prompting Techniques for Debiasing Language Model Outputs (Student Abstract)., , , , , , , and . AAAI, page 23492-23493. AAAI Press, (2024)MIDAS@SMM4H-2019: Identifying Adverse Drug Reactions and Personal Health Experience Mentions from Twitter., , , , , , and . SMM4H@ACL, page 127-132. Association for Computational Linguistics, (2019)All Should Be Equal in the Eyes of LMs: Counterfactually Aware Fair Text Generation., , , , , , and . AAAI, page 17673-17681. AAAI Press, (2024)LEAST: "Local" text-conditioned image style transfer., , , and . CoRR, (2024)MIDAS at SemEval-2019 Task 9: Suggestion Mining from Online Reviews using ULMFit., , , , , , , , and . SemEval@NAACL-HLT, page 1213-1217. Association for Computational Linguistics, (2019)All Should Be Equal in the Eyes of Language Models: Counterfactually Aware Fair Text Generation., , , , , , and . CoRR, (2023)Suggestion Mining from Online Reviews using ULMFiT., , , , , , , , and . CoRR, (2019)