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Media Bias Detection Across Families of Language Models

I. Maab, E. Marrese-Taylor, S. Padó, and Y. Matsuo. Proceedings of NAACL, Mexico City, Mexico, (2024)Accepted for publication.

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A novel deterministic approach for aspect-based opinion mining in tourism products reviews.E. Marrese-Taylor, J. Velásquez, and F. Bravo-Marquez. Expert Syst. Appl., 41 (17): 7764-7775 (2014)Tools for External Plagiarism Detection in DOCODE.J. Velásquez, and E. Marrese-Taylor. WI-IAT (1), page 296-303. IEEE Computer Society, (2014)Mining fine-grained opinions on closed captions of YouTube videos with an attention-RNN.E. Marrese-Taylor, J. Balazs, and Y. Matsuo. WASSA@EMNLP, page 102-111. Association for Computational Linguistics, (2017)IIIDYT at SemEval-2018 Task 3: Irony detection in English tweets.E. Marrese-Taylor, S. Ilic, J. Balazs, H. Prendinger, and Y. Matsuo. SemEval@NAACL-HLT, page 537-540. Association for Computational Linguistics, (2018)Proposal-free Temporal Moment Localization of a Natural-Language Query in Video using Guided Attention.C. Opazo, E. Marrese-Taylor, F. Saleh, H. Li, and S. Gould. CoRR, (2019)Replication issues in syntax-based aspect extraction for opinion mining.E. Marrese-Taylor, and Y. Matsuo. EACL (Student Research Workshop), page 23-32. Association for Computational Linguistics, (2017)Refining Raw Sentence Representations for Textual Entailment Recognition via Attention.J. Balazs, E. Marrese-Taylor, P. Loyola, and Y. Matsuo. RepEval@EMNLP, page 51-55. Association for Computational Linguistics, (2017)IIIDYT at IEST 2018: Implicit Emotion Classification With Deep Contextualized Word Representations.J. Balazs, E. Marrese-Taylor, and Y. Matsuo. WASSA@EMNLP, page 50-56. Association for Computational Linguistics, (2018)Learning to Automatically Generate Fill-In-The-Blank Quizzes.E. Marrese-Taylor, A. Nakajima, Y. Matsuo, and Y. Ono. NLP-TEA@ACL, page 152-156. Association for Computational Linguistics, (2018)Media Bias Detection Across Families of Language ModelsI. Maab, E. Marrese-Taylor, S. Padó, and Y. Matsuo. Proceedings of NAACL, Mexico City, Mexico, (2024)Accepted for publication.

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Media Bias Detection Across Families of Language Models

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Media Bias Detection Across Families of Language Models

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Media Bias Detection Across Families of Language Models