@inproceedings{2d76915039ae4fdf94027c2480df3252,
title = "UNAL: Discriminating between literal and figurative phrasal usage using distributional statistics and POS tags",
abstract = "In this paper we describe the system used to participate in the sub task 5b in the Phrasal Semantics challenge (task 5) in SemEval 2013. This sub task consists in discriminating literal and figurative usage of phrases with compositional and non-compositional meanings 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 collection. The system obtained a relative improvement in accuracy against the most-frequent-class baseline of 49.8% in the “unseen contexts” (LexSample) setting and 8.5% in “unseen phrases” (AllWords).",
author = "Sergio Jimenez and Claudia Becerra and Alexander Gelbukh",
note = "Publisher Copyright: c 2013 Association for Computational Linguistics; 2nd Joint Conference on Lexical and Computational Semantics, *SEM 2013 ; Conference date: 13-06-2013 Through 14-06-2013",
year = "2013",
language = "Ingl{\'e}s",
series = "*SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics",
publisher = "Association for Computational Linguistics (ACL)",
pages = "114--117",
booktitle = "*SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics",
}