Meta4meaning : Automatic Metaphor Interpretation Using Corpus-Derived Word Associations

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Xiao , P , Alnajjar , K , Granroth-Wilding , M , Agres , K & Toivonen , H 2016 , Meta4meaning : Automatic Metaphor Interpretation Using Corpus-Derived Word Associations . in F Pachet , A Cardoso , V Corruble & F Ghedini (eds) , Proceedings of The Seventh International Conference on Computational Creativity . Sony CSL Paris , Paris , pp. 230-237 , International Conference on Computational Creativity , Paris , France , 27/06/2016 . < http://www.computationalcreativity.net/iccc2016/proceedings-2016/ >

Title: Meta4meaning : Automatic Metaphor Interpretation Using Corpus-Derived Word Associations
Author: Xiao, Ping; Alnajjar, Khalid; Granroth-Wilding, Mark; Agres, Kat; Toivonen, Hannu
Other contributor: Pachet, François
Cardoso, Amilcar
Corruble, Vincent
Ghedini, Fiammetta
Contributor organization: Department of Computer Science
Helsinki Institute for Information Technology
Discovery Research Group/Prof. Hannu Toivonen
Finnish Centre of Excellence in Algorithmic Data Analysis Research (Algodan)
Publisher: Sony CSL Paris
Date: 2016
Language: eng
Number of pages: 8
Belongs to series: Proceedings of The Seventh International Conference on Computational Creativity
ISBN: 978-2-7466-9155-1
URI: http://hdl.handle.net/10138/166571
Abstract: We propose a novel metaphor interpretation method, Meta4meaning. It provides interpretations for nominal metaphors by generating a list of properties that the metaphor expresses. Meta4meaning uses word associations extracted from a corpus to retrieve an approximation to properties of concepts. Interpretations are then obtained as an aggregation or difference of the saliences of the properties to the tenor and the vehicle. We evaluate Meta4meaning using a set of human-annotated interpretations of 84 metaphors and compare with two existing methods for metaphor interpretation. Meta4meaning significantly outperforms the previous methods on this task.
Subject: 113 Computer and information sciences
Peer reviewed: Yes
Usage restriction: openAccess
Self-archived version: publishedVersion
Funder: SUOMEN AKATEMIA
SUOMEN AKATEMIA
Grant number:


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