Learning Interpretable Negation Rules via Weak Supervision at Document Level: A Reinforcement Learning Approach

Nicolas Pröllochs, Stefan Feuerriegel, Dirk Neumann 0001. Learning Interpretable Negation Rules via Weak Supervision at Document Level: A Reinforcement Learning Approach. In Jill Burstein, Christy Doran, Thamar Solorio, editors, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, June 2-7, 2019, Volume 1 (Long and Short Papers). pages 407-413, Association for Computational Linguistics, 2019. [doi]

Abstract

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