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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)

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Neural Word Decomposition Models for Abusive Language Detection., , , and . CoRR, (2019)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)Beam Search Strategies for Neural Machine Translation., and . NMT@ACL, page 56-60. Association for Computational Linguistics, (2017)Meta Learning to Classify Intent and Slot Labels with Noisy Few Shot Examples., , , , and . SLT, page 1004-1011. IEEE, (2021)JAPANGLOSS: using statistics to fill knowledge gaps., , , , , , and . AMTA, (1996)Distortion Models for Statistical Machine Translation., and . ACL, The Association for Computer Linguistics, (2006)Fast Domain Adaptation for Neural Machine Translation., and . CoRR, (2016)Ensemble Distillation for Neural Machine Translation., , and . CoRR, (2017)Using an Explicit Model of Teamwork in RoboCup-97., , , , , , , and . RoboCup, volume 1395 of Lecture Notes in Computer Science, page 123-131. Springer, (1997)Machine Transliteration of Names in Arabic Texts., and . SEMITIC@ACL, Association for Computational Linguistics, (2002)