Paper: UNAL: Discriminating between Literal and Figurative Phrasal Usage Using Distributional Statistics and POS tags

ACL ID S13-2020
Title UNAL: Discriminating between Literal and Figurative Phrasal Usage Using Distributional Statistics and POS tags
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

In this paper we describe the system used to participate in the sub task 5b in the Phrasal Se- mantics challenge (task 5) in SemEval 2013. This sub task consists in discriminating lit- eral and figurative usage of phrases with compositional and non-compositional mean- ings in context. The proposed approach is based on part-of-speech tags, stylistic features and distributional statistics gathered from the same development-training-test text collec- tion. The system obtained a relative improve- ment in accuracy against the most-frequent- class baseline of 49.8% in the ?unseen con- texts? (LexSample) setting and 8.5% in ?un- seen phrases? (AllWords).