Effective Approach to Develop a Sentiment Annotator For Legal Domain in a Low Resource Setting

Gathika Ratnayaka, Nisansa de Silva, Amal Shehan Perera, Ramesh Pathirana. Effective Approach to Develop a Sentiment Annotator For Legal Domain in a Low Resource Setting. In Minh Le Nguyen, Mai Chi Luong, Sanghoun Song, editors, Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation, PACLIC 2020, Hanoi, Vietnam, October 24-26, 2020. pages 252-260, Association for Computational Linguistics, 2020. [doi]

Abstract

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