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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| Pubblicato in: | URI:https://journals.openedition.org/ijcol, |
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| Autori principali: | , |
| Natura: | Article ou chapitre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
IJCoL
2020
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| Accesso online: | Accès Université d'Orléans et IFPM Accès Université d'Orléans et IFPM |
| Riassunto: | 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. |
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