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Multi-Task Learning and Adapted Knowledge Models for Emotion-Cause Extraction.

, , , , , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 3975-3989. Association for Computational Linguistics, (2021)

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Using an Explicit Teamwork Model and Learning in RoboCup: An Extended Abstract., , , , , , , and . RoboCup, volume 1604 of Lecture Notes in Computer Science, page 237-245. Springer, (1998)Neural Word Decomposition Models for Abusive Language Detection., , , and . CoRR, (2019)Meta Learning to Classify Intent and Slot Labels with Noisy Few Shot Examples., , , , and . SLT, page 1004-1011. IEEE, (2021)Beam Search Strategies for Neural Machine Translation., and . NMT@ACL, page 56-60. Association for Computational Linguistics, (2017)Distortion Models for Statistical Machine Translation., and . ACL, The Association for Computer Linguistics, (2006)JAPANGLOSS: using statistics to fill knowledge gaps., , , , , , and . AMTA, (1996)Attention-based Vocabulary Selection for NMT Decoding., , and . CoRR, (2017)Arabic ASR and MT Integration for GALE., and . ICASSP (4), page 1285-1288. IEEE, (2007)Experiences Acquired in the Design of RoboCup Teams: A Comparison of Two Fielded Teams., , , , , and . Auton. Agents Multi Agent Syst., 4 (1/2): 115-129 (2001)To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging., , , , , , and . EMNLP (1), page 7927-7934. Association for Computational Linguistics, (2020)