Classification and Resolution of Non-Sentential Utterances in Dialogue

This article addresses the problems of classification and resolution of non-sentential utterances (NSUs) in dialogue. NSUs are utterances that do not have a complete sentential form but convey a full clausal meaning given the conversational context, such as “To the contrary!” or “How much?”. The pre...

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Autores principales: Paolo Dragone, Pierre Lison
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Lenguaje:EN
Publicado: Accademia University Press 2016
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Acceso en línea:https://doaj.org/article/e68d84582ad14b1bbcf84c1fb908c35f
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spelling oai:doaj.org-article:e68d84582ad14b1bbcf84c1fb908c35f2021-12-02T09:52:25ZClassification and Resolution of Non-Sentential Utterances in Dialogue2499-455310.4000/ijcol.353https://doaj.org/article/e68d84582ad14b1bbcf84c1fb908c35f2016-06-01T00:00:00Zhttp://journals.openedition.org/ijcol/353https://doaj.org/toc/2499-4553This article addresses the problems of classification and resolution of non-sentential utterances (NSUs) in dialogue. NSUs are utterances that do not have a complete sentential form but convey a full clausal meaning given the conversational context, such as “To the contrary!” or “How much?”. The presented approach builds upon the work of Fernández, Ginzburg, and Lappin (2007), who provide a taxonomy of NSUs divided in 15 classes along with a small annotated corpus extracted from dialogue transcripts. The main part of this article focuses on the automatic classification of NSUs according to these classes. We show that a combination of novel linguistic features and active learning techniques yields a significant improvement in the classification accuracy over the state-of-the-art, and is able to mitigate the scarcity of labelled data. Based on this classifier, the article also presents a novel approach for the semantic resolution of NSUs in context using probabilistic rules.Paolo DragonePierre LisonAccademia University PressarticleSocial SciencesHComputational linguistics. Natural language processingP98-98.5ENIJCoL, Vol 2, Iss 1, Pp 45-61 (2016)
institution DOAJ
collection DOAJ
language EN
topic Social Sciences
H
Computational linguistics. Natural language processing
P98-98.5
spellingShingle Social Sciences
H
Computational linguistics. Natural language processing
P98-98.5
Paolo Dragone
Pierre Lison
Classification and Resolution of Non-Sentential Utterances in Dialogue
description This article addresses the problems of classification and resolution of non-sentential utterances (NSUs) in dialogue. NSUs are utterances that do not have a complete sentential form but convey a full clausal meaning given the conversational context, such as “To the contrary!” or “How much?”. The presented approach builds upon the work of Fernández, Ginzburg, and Lappin (2007), who provide a taxonomy of NSUs divided in 15 classes along with a small annotated corpus extracted from dialogue transcripts. The main part of this article focuses on the automatic classification of NSUs according to these classes. We show that a combination of novel linguistic features and active learning techniques yields a significant improvement in the classification accuracy over the state-of-the-art, and is able to mitigate the scarcity of labelled data. Based on this classifier, the article also presents a novel approach for the semantic resolution of NSUs in context using probabilistic rules.
format article
author Paolo Dragone
Pierre Lison
author_facet Paolo Dragone
Pierre Lison
author_sort Paolo Dragone
title Classification and Resolution of Non-Sentential Utterances in Dialogue
title_short Classification and Resolution of Non-Sentential Utterances in Dialogue
title_full Classification and Resolution of Non-Sentential Utterances in Dialogue
title_fullStr Classification and Resolution of Non-Sentential Utterances in Dialogue
title_full_unstemmed Classification and Resolution of Non-Sentential Utterances in Dialogue
title_sort classification and resolution of non-sentential utterances in dialogue
publisher Accademia University Press
publishDate 2016
url https://doaj.org/article/e68d84582ad14b1bbcf84c1fb908c35f
work_keys_str_mv AT paolodragone classificationandresolutionofnonsententialutterancesindialogue
AT pierrelison classificationandresolutionofnonsententialutterancesindialogue
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