Transition-based DRS Parsing Using Stack-LSTMs

Kilian Evang

doi:10.18653/v1/W19-1202

Transition-based DRS Parsing Using Stack-LSTMs

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Abstract

We present our submission to the IWCS 2019 shared task on semantic parsing, a transition-based parser that uses explicit word-meaning pairings, but no explicit representation of syntax. Parsing decisions are made based on vector representations of parser states, encoded via stack-LSTMs (Ballesteros et al., 2017), as well as some heuristic rules. Our system reaches 70.88% f-score in the competition.

Anthology ID:: W19-1202
Volume:: Proceedings of the IWCS Shared Task on Semantic Parsing
Month:: May
Year:: 2019
Address:: Gothenburg, Sweden
Editors:: Lasha Abzianidze, Rik van Noord, Hessel Haagsma, Johan Bos
Venue:: IWCS
SIG:: SIGSEM
Publisher:: Association for Computational Linguistics
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Pages:
Language:
URL:: https://aclanthology.org/W19-1202/
DOI:: 10.18653/v1/W19-1202
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Cite (ACL):: Kilian Evang. 2019. Transition-based DRS Parsing Using Stack-LSTMs. In Proceedings of the IWCS Shared Task on Semantic Parsing, Gothenburg, Sweden. Association for Computational Linguistics.
Cite (Informal):: Transition-based DRS Parsing Using Stack-LSTMs (Evang, IWCS 2019)
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PDF:: https://aclanthology.org/W19-1202.pdf

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@inproceedings{evang-2019-transition,
    title = "Transition-based {DRS} Parsing Using Stack-{LSTM}s",
    author = "Evang, Kilian",
    editor = "Abzianidze, Lasha  and
      van Noord, Rik  and
      Haagsma, Hessel  and
      Bos, Johan",
    booktitle = "Proceedings of the {IWCS} Shared Task on Semantic Parsing",
    month = may,
    year = "2019",
    address = "Gothenburg, Sweden",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W19-1202/",
    doi = "10.18653/v1/W19-1202",
    abstract = "We present our submission to the IWCS 2019 shared task on semantic parsing, a transition-based parser that uses explicit word-meaning pairings, but no explicit representation of syntax. Parsing decisions are made based on vector representations of parser states, encoded via stack-LSTMs (Ballesteros et al., 2017), as well as some heuristic rules. Our system reaches 70.88{\%} f-score in the competition."
}

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%0 Conference Proceedings
%T Transition-based DRS Parsing Using Stack-LSTMs
%A Evang, Kilian
%Y Abzianidze, Lasha
%Y van Noord, Rik
%Y Haagsma, Hessel
%Y Bos, Johan
%S Proceedings of the IWCS Shared Task on Semantic Parsing
%D 2019
%8 May
%I Association for Computational Linguistics
%C Gothenburg, Sweden
%F evang-2019-transition
%X We present our submission to the IWCS 2019 shared task on semantic parsing, a transition-based parser that uses explicit word-meaning pairings, but no explicit representation of syntax. Parsing decisions are made based on vector representations of parser states, encoded via stack-LSTMs (Ballesteros et al., 2017), as well as some heuristic rules. Our system reaches 70.88% f-score in the competition.
%R 10.18653/v1/W19-1202
%U https://aclanthology.org/W19-1202/
%U https://doi.org/10.18653/v1/W19-1202

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Markdown (Informal)

[Transition-based DRS Parsing Using Stack-LSTMs](https://aclanthology.org/W19-1202/) (Evang, IWCS 2019)

Transition-based DRS Parsing Using Stack-LSTMs (Evang, IWCS 2019)

ACL

Kilian Evang. 2019. Transition-based DRS Parsing Using Stack-LSTMs. In Proceedings of the IWCS Shared Task on Semantic Parsing, Gothenburg, Sweden. Association for Computational Linguistics.