Augmenting English Adjective Senses with Supersenses

Yulia Tsvetkov; Nathan Schneider; Dirk Hovy; Archna Bhatia; Manaal Faruqui; Chris Dyer

Augmenting English Adjective Senses with Supersenses

Yulia Tsvetkov, Nathan Schneider, Dirk Hovy, Archna Bhatia, Manaal Faruqui, Chris Dyer

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Abstract

We develop a supersense taxonomy for adjectives, based on that of GermaNet, and apply it to English adjectives in WordNet using human annotation and supervised classification. Results show that accuracy for automatic adjective type classification is high, but synsets are considerably more difficult to classify, even for trained human annotators. We release the manually annotated data, the classifier, and the induced supersense labeling of 12,304 WordNet adjective synsets.

Anthology ID:: L14-1073
Volume:: Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Month:: May
Year:: 2014
Address:: Reykjavik, Iceland
Editors:: Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:: LREC
SIG:
Publisher:: European Language Resources Association (ELRA)
Note:
Pages:: 4359–4365
Language:
URL:: http://www.lrec-conf.org/proceedings/lrec2014/pdf/1096_Paper.pdf
DOI:
Bibkey:
Cite (ACL):: Yulia Tsvetkov, Nathan Schneider, Dirk Hovy, Archna Bhatia, Manaal Faruqui, and Chris Dyer. 2014. Augmenting English Adjective Senses with Supersenses. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 4359–4365, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):: Augmenting English Adjective Senses with Supersenses (Tsvetkov et al., LREC 2014)
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PDF:: http://www.lrec-conf.org/proceedings/lrec2014/pdf/1096_Paper.pdf

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@inproceedings{tsvetkov-etal-2014-augmenting-english,
    title = "Augmenting {E}nglish Adjective Senses with Supersenses",
    author = "Tsvetkov, Yulia  and
      Schneider, Nathan  and
      Hovy, Dirk  and
      Bhatia, Archna  and
      Faruqui, Manaal  and
      Dyer, Chris",
    editor = "Calzolari, Nicoletta  and
      Choukri, Khalid  and
      Declerck, Thierry  and
      Loftsson, Hrafn  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Moreno, Asuncion  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
    month = may,
    year = "2014",
    address = "Reykjavik, Iceland",
    publisher = "European Language Resources Association (ELRA)",
    url = "https://aclanthology.org/L14-1073/",
    pages = "4359--4365",
    abstract = "We develop a supersense taxonomy for adjectives, based on that of GermaNet, and apply it to English adjectives in WordNet using human annotation and supervised classification. Results show that accuracy for automatic adjective type classification is high, but synsets are considerably more difficult to classify, even for trained human annotators. We release the manually annotated data, the classifier, and the induced supersense labeling of 12,304 WordNet adjective synsets."
}

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%0 Conference Proceedings
%T Augmenting English Adjective Senses with Supersenses
%A Tsvetkov, Yulia
%A Schneider, Nathan
%A Hovy, Dirk
%A Bhatia, Archna
%A Faruqui, Manaal
%A Dyer, Chris
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F tsvetkov-etal-2014-augmenting-english
%X We develop a supersense taxonomy for adjectives, based on that of GermaNet, and apply it to English adjectives in WordNet using human annotation and supervised classification. Results show that accuracy for automatic adjective type classification is high, but synsets are considerably more difficult to classify, even for trained human annotators. We release the manually annotated data, the classifier, and the induced supersense labeling of 12,304 WordNet adjective synsets.
%U https://aclanthology.org/L14-1073/
%P 4359-4365

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Markdown (Informal)

[Augmenting English Adjective Senses with Supersenses](https://aclanthology.org/L14-1073/) (Tsvetkov et al., LREC 2014)

Augmenting English Adjective Senses with Supersenses (Tsvetkov et al., LREC 2014)

ACL

Yulia Tsvetkov, Nathan Schneider, Dirk Hovy, Archna Bhatia, Manaal Faruqui, and Chris Dyer. 2014. Augmenting English Adjective Senses with Supersenses. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 4359–4365, Reykjavik, Iceland. European Language Resources Association (ELRA).