| Titre | Multilingual Lexicalized Constituency Parsing with Word-Level Auxiliary Tasks |
| Publication Type | Article dans des actes |
| Année de la conférence | 2017 |
| Authors | Coavoux, Maximin, and Benoît Crabbé |
| Nom de la conférence | Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers |
| Pagination | 331–336 |
| Date de publication | April |
| Publisher | Association for Computational Linguistics |
| Conference Location | Valencia, Spain |
| Abstract | We introduce a constituency parser based on a bi-LSTM encoder adapted from re- cent work (Cross and Huang, 2016b; Kiperwasser and Goldberg, 2016), which can incorporate a lower level character bi- LSTM (Ballesteros et al., 2015; Plank et al., 2016). We model two important in- terfaces of constituency parsing with aux- iliary tasks supervised at the word level: (i) part-of-speech (POS) and morpholog- ical tagging, (ii) functional label predic- tion. On the SPMRL dataset, our parser obtains above state-of-the-art results on constituency parsing without requiring ei- ther predicted POS or morphological tags, and outputs labelled dependency trees. |
| URL | http://www.aclweb.org/anthology/E17-2053 |
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