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Multilingual Lexicalized Constituency Parsing with Word-Level Auxiliary Tasks
2017
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
We introduce a constituency parser based on a bi-LSTM encoder adapted from recent work (Cross and Huang, 2016b; Kiperwasser and Goldberg, 2016) , which can incorporate a lower level character bi-LSTM Plank et al., 2016) . We model two important interfaces of constituency parsing with auxiliary tasks supervised at the word level: (i) part-of-speech (POS) and morphological tagging, (ii) functional label prediction. On the SPMRL dataset, our parser obtains above state-of-the-art results on
doi:10.18653/v1/e17-2053
dblp:conf/eacl/CrabbeC17a
fatcat:im3qdw3avzhgpfwxqxo72dped4