Summary of the paper

Title Augmenting English Adjective Senses with Supersenses
Authors Yulia Tsvetkov, Nathan Schneider, Dirk Hovy, Archna Bhatia, Manaal Faruqui and Chris Dyer
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.
Topics Semantics, Word Sense Disambiguation
Full paper Augmenting English Adjective Senses with Supersenses
Bibtex @InProceedings{TSVETKOV14.1096,
  author = {Yulia Tsvetkov and Nathan Schneider and Dirk Hovy and Archna Bhatia and Manaal Faruqui and Chris Dyer},
  title = {Augmenting English Adjective Senses with Supersenses},
  booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)},
  year = {2014},
  month = {may},
  date = {26-31},
  address = {Reykjavik, Iceland},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-8-4},
  language = {english}
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