ANTON: The Antonym classifier
• Distributional Semantics can be used to compute similarity between terms
• Problem:
– Using distributional similarity we face the problems of obtaining antonyms
• Solution
– Train one classifier for all instances as described in [1]
– Use delexicalized features
(e.g. prefix, suffix, context information (appears with and, or , etc.))
• Evaluation:
– Generate dataset using a taxonomy (e.g. WordNet/GermaNet)
[1] Szarvas, G., Biemann, C., and Gurevych, G. (2013): Supervised All‐Words Lexical Substitution using Delexicalized Features. Proceedings of NAACL‐2013, Atlanta, GA, USA
Martin Riedl | LT | Raum: S2|02/E115 | Tel: 06151‐16 76926 | [email protected]‐Darmstadt.de