Date of Original Version

5-2014

Type

Conference Proceeding

Journal Title

Proceedings of Ninth International Conference on Language Resources and Evaluation

Rights Management

Copyright by the European Language Resources Association

Abstract or Description

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

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

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Published In

Proceedings of Ninth International Conference on Language Resources and Evaluation.