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Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022


Date
déc. 7, 2022 — déc. 12, 2022
Évènement
2022 EMNLP
URL
https://2022.emnlp.org
Date de soumission
juin 24, 2022
Date d'envoi des révisions
août 23, 2022
Date de réponse aux arbitres
août 29, 2022
Date de décision finale
oct. 6, 2022
Lieu
Abu Dhabi, United Arab Emirates

Publications

Azimuth: Systematic Error Analysis for Text Classification. Gabrielle Gauthier Melançon, Orlando Marquez, Lindsay Brin, Chris Tyler, Frédéric Branchaud-Charron, Joseph Marinier, Karine Grande, Di Le. At Conference on Empirical Methods in Natural Language Processing (EMNLP),  2022.

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UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. Tianbao Xie, Chen Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu. At Conference on Empirical Methods in Natural Language Processing (EMNLP),  2022.

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On the Compositional Generalization Gap of In-Context Learning. Dzmitry Bahdanau, Arian Hosseini, Aaron Courville, Alessandro Sordoni, Ankit Vani. At Conference on Empirical Methods in Natural Language Processing (EMNLP),  2022.

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