Augmenting English adjective senses with supersenses

TY - GEN

T1 - Augmenting English adjective senses with supersenses

AU - Tsvetkov, Yulia

AU - Schneider, Nathan

AU - Hovy, Dirk

AU - Bhatia, Archna

AU - Faruqui, Manaal

AU - Dyer, Chris

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

M3 - Article in proceedings

BT - Proceedings of the Ninth International Conference on Language Resources and Evaluation

PB - European Language Resources Association

CY - Reykjavik, Iceland

ER -