Paper: Detecting Metaphor by Contextual Analogy

ACL ID P13-3004
Title Detecting Metaphor by Contextual Analogy
Venue Annual Meeting of the Association of Computational Linguistics
Session Student Session
Year 2013
Authors

As one of the most challenging issues in NLP, metaphor identification and its in- terpretation have seen many models and methods proposed. This paper presents a study on metaphor identification based on the semantic similarity between literal and non literal meanings of words that can ap- pear at the same context.