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LREC
2010

Using Dialogue Corpora to Extend Information Extraction Patterns for Natural Language Understanding of Dialogue

13 years 11 months ago
Using Dialogue Corpora to Extend Information Extraction Patterns for Natural Language Understanding of Dialogue
This paper examines how Natural Language Process (NLP) resources and online dialogue corpora can be used to extend coverage of Information Extraction (IE) templates in a Spoken Dialogue system. IE templates are used as part of a Natural Language Understanding module for identifying meaning in a user utterance. The use of NLP tools in Dialogue systems is a difficult task given 1) spoken dialogue is often not well-formed and 2) there is a serious lack of dialogue data. In spite of that, we have devised a method for extending IE patterns using standard NLP tools and available dialogue corpora found on the web. In this paper, we explain our method which includes using a set of NLP modules developed using GATE (a General Architecture for Text Engineering), as well as a general purpose editing tool that we built to facilitate the IE rule creation process. Lastly, we present directions for future work in this area.
Roberta Catizone, Alexiei Dingli, Robert J. Gaizau
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2010
Where LREC
Authors Roberta Catizone, Alexiei Dingli, Robert J. Gaizauskas
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