Article | Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013); May 22-24; 2013; Oslo University; Norway. NEALT Proceedings Series 16 | Detecting and Processing Figurative Language in Discourse Link�ping University Electronic Press Conference Proceedings
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Title:
Detecting and Processing Figurative Language in Discourse
Author:
Caroline Sporleder: Universität Trier, Germany
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Year:
2013
Conference:
Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013); May 22-24; 2013; Oslo University; Norway. NEALT Proceedings Series 16
Issue:
085
Article no.:
002
Pages:
3-3
No. of pages:
1
Publication type:
Abstract and Fulltext
Published:
2013-05-17
ISBN:
978-91-7519-589-6
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Series:
NEALT Proceedings Series
Publisher:
Linköping University Electronic Press; Linköpings universitet


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Figurative language poses a serious challenge to NLP systems. The use of idiomatic and metaphoric expressions is not only extremely widespread in natural language; many figurative expressions; in particular idioms; also behave idiosyncratically. These idiosyncrasies are not restricted to a non-compositional meaning but often also extend to syntactic properties; selectional preferences etc. To deal appropriately with such expressions; NLP tools need to detect figurative language and assign the correct analyses to non-literal expressions. While there has been quite a bit of work on determining the general ‘idiomaticity’ of an expression (type-based approaches); this only solves part of the problem as many expressions; such as break the ice or play with fire; can also have a literal; perfectly compositional meaning (e.g. break the ice on the duck pond). Such expressions have to be disambiguated in context (token-based approaches). Token-based approaches have received increased attention recently. In this talk; I will present an unsupervised method for token-based idiom detection. The method exploits the fact that well-formed texts exhibit lexical cohesion; i.e. words are semantically related to other words in the context. I will show how cohesion can be modelled and how the cohesive structure can be used to distinguish literal and idiomatic usages and even detect newly coined figurative expressions.

Keywords: Discourse; Figurative Language; Token-Based Idiom Detection

Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013); May 22-24; 2013; Oslo University; Norway. NEALT Proceedings Series 16

Author:
Caroline Sporleder
Title:
Detecting and Processing Figurative Language in Discourse
References:
No references available

Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013); May 22-24; 2013; Oslo University; Norway. NEALT Proceedings Series 16

Author:
Caroline Sporleder
Title:
Detecting and Processing Figurative Language in Discourse
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