Composition of Word Representations Improves Semantic Role Labelling

Michael Roth; Kristian Woodsend

doi:10.3115/v1/D14-1045

Composition of Word Representations Improves Semantic Role Labelling

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Anthology ID:: D14-1045
Volume:: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Month:: October
Year:: 2014
Address:: Doha, Qatar
Editors:: Alessandro Moschitti, Bo Pang, Walter Daelemans
Venue:: EMNLP
SIG:: SIGDAT
Publisher:: Association for Computational Linguistics
Note:
Pages:: 407–413
Language:
URL:: https://aclanthology.org/D14-1045/
DOI:: 10.3115/v1/D14-1045
Bibkey:
Cite (ACL):: Michael Roth and Kristian Woodsend. 2014. Composition of Word Representations Improves Semantic Role Labelling. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 407–413, Doha, Qatar. Association for Computational Linguistics.
Cite (Informal):: Composition of Word Representations Improves Semantic Role Labelling (Roth & Woodsend, EMNLP 2014)
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PDF:: https://aclanthology.org/D14-1045.pdf

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@inproceedings{roth-woodsend-2014-composition,
    title = "Composition of Word Representations Improves Semantic Role Labelling",
    author = "Roth, Michael  and
      Woodsend, Kristian",
    editor = "Moschitti, Alessandro  and
      Pang, Bo  and
      Daelemans, Walter",
    booktitle = "Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing ({EMNLP})",
    month = oct,
    year = "2014",
    address = "Doha, Qatar",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/D14-1045/",
    doi = "10.3115/v1/D14-1045",
    pages = "407--413"
}

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%0 Conference Proceedings
%T Composition of Word Representations Improves Semantic Role Labelling
%A Roth, Michael
%A Woodsend, Kristian
%Y Moschitti, Alessandro
%Y Pang, Bo
%Y Daelemans, Walter
%S Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)
%D 2014
%8 October
%I Association for Computational Linguistics
%C Doha, Qatar
%F roth-woodsend-2014-composition
%R 10.3115/v1/D14-1045
%U https://aclanthology.org/D14-1045/
%U https://doi.org/10.3115/v1/D14-1045
%P 407-413

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Markdown (Informal)

[Composition of Word Representations Improves Semantic Role Labelling](https://aclanthology.org/D14-1045/) (Roth & Woodsend, EMNLP 2014)

Composition of Word Representations Improves Semantic Role Labelling (Roth & Woodsend, EMNLP 2014)

ACL

Michael Roth and Kristian Woodsend. 2014. Composition of Word Representations Improves Semantic Role Labelling. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 407–413, Doha, Qatar. Association for Computational Linguistics.