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        <title>Multilingual Lexicalized Constituency Parsing with Word-Level Auxiliary Tasks</title>
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            <namePart type="given">Mirella</namePart>
            <namePart type="family">Lapata</namePart>
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            <namePart type="given">Alexander</namePart>
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    <abstract>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 biLSTM (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.</abstract>
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%0 Conference Proceedings
%T Multilingual Lexicalized Constituency Parsing with Word-Level Auxiliary Tasks
%A Coavoux, Maximin
%A Crabbé, Benoît
%Y Lapata, Mirella
%Y Blunsom, Phil
%Y Koller, Alexander
%S Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F coavoux-crabbe-2017-multilingual
%X 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 biLSTM (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.
%U https://aclanthology.org/E17-2053
%P 331-336

Markdown (Informal)

[Multilingual Lexicalized Constituency Parsing with Word-Level Auxiliary Tasks](https://aclanthology.org/E17-2053) (Coavoux & Crabbé, EACL 2017)

• Multilingual Lexicalized Constituency Parsing with Word-Level Auxiliary Tasks (Coavoux & Crabbé, EACL 2017)

ACL

• Maximin Coavoux and Benoît Crabbé. 2017. Multilingual Lexicalized Constituency Parsing with Word-Level Auxiliary Tasks. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 331–336, Valencia, Spain. Association for Computational Linguistics.