Multilingual Lexicalized Constituency Parsing with Word-Level Auxiliary Tasks
Maximin Coavoux, Benoît Crabbé · 2017
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 (Ballesteros et al., 2015;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 constituency parsing without requiring either predicted POS or morphological tags, and outputs labelled dependency trees.