Recognition of Metonymy by Tagging Named Entities

Authors: , , ,

Abstract: Metonymy is referential phenomenon in which one entity is referred by another one on the base of the existence of a relation between the two entities. It occurs very often in texts and so its recognition and resolution is required to be fulfilled for a lot of Natural Language Processing Applications. Among the methodologies and domains implied in the achievement of these tasks we can cite semantic classifiers, discourse understanding methodology, unsupervised and statistical methods. In this paper we propose to expand existing approaches by a preliminary tagging of named entities of the text with the Stanford NER program and using the argument structure of predicates as they figure in the WordNet thesaurus. We show how we can so eliminate a of lot of work which without this should have been made by human.

WSEAS Transactions on Computer Research, ISSN / E-ISSN: 1991-8755 / 2415-1521, Volume 4, 2016, Art. #10

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H. Burcu Kupelioglu, Tankut Acarman, Tassadit Amghar, Bernard Levrat, "Recognition of Metonymy by Tagging Named Entities," WSEAS Transactions on Computer Research, vol. 4, pp. 81-85, 2016, DOI:
H. Burcu Kupelioglu, Tankut Acarman, Tassadit Amghar, Bernard Levrat. Recognition of Metonymy by Tagging Named Entities. WSEAS Transactions on Computer Research. 2016;4:81-85.
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