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

Learning Interpretable Negation Rules via Weak Supervision at Document Level: A Reinforcement Learning Approach Nicolas Pröllochs author Stefan Feuerriegel author Dirk Neumann author 2019-06 text Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) Jill Burstein editor Christy Doran editor Thamar Solorio editor Association for Computational Linguistics Minneapolis, Minnesota conference publication prollochs-etal-2019-learning 10.18653/v1/N19-1038 https://aclanthology.org/N19-1038/ 2019-06 407 413