SEx BiST: A Multi-Source Trainable Parser with Deep Contextualized Lexical Representations - researchr publication authors

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Kyungtae Lim, Cheon-Eum Park, Changki Lee, Thierry Poibeau. SEx BiST: A Multi-Source Trainable Parser with Deep Contextualized Lexical Representations. In Daniel Zeman, Jan Hajic, editors, Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, Brussels, Belgium, October 31 - November 1, 2018. pages 143-152, Association for Computational Linguistics, 2018. [doi]

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