Summary of the paper
| Title | Using Dialogue Corpora to Extend Information Extraction Patterns for Natural Language Understanding of Dialogue |
|---|---|
| Authors | Roberta Catizone, Alexiei Dingli and Robert Gaizauskas |
| Abstract | This paper examines how Natural Language Process (NLP) resources and onlinedialogue corpora can be used to extend coverage of Information Extraction (IE)templates in a Spoken Dialogue system. IE templates are used as part of aNatural Language Understanding module for identifying meaning in a userutterance. The use of NLP tools in Dialogue systems is a difficult task given1) spoken dialogue is often not well-formed and 2) there is a serious lack ofdialogue data. In spite of that, we have devised a method for extending IEpatterns using standard NLP tools and available dialogue corpora found on theweb. In this paper, we explain our method which includes using a set of NLPmodules developed using GATE (a General Architecture for Text Engineering), aswell as a general purpose editing tool that we built to facilitate the IE rulecreation process. Lastly, we present directions for future work in this area. |
| Language | Named Entity recognition |
| Topics | Information Extraction, Information Retrieval, Dialogue, Named Entity recognition |
Full paper  |
Using Dialogue Corpora to Extend Information Extraction Patterns for Natural Language Understanding of Dialogue |
| Bibtex | @InProceedings{CATIZONE10.818, author = {Roberta Catizone, Alexiei Dingli and Robert Gaizauskas}, title = {Using Dialogue Corpora to Extend Information Extraction Patterns for Natural Language Understanding of Dialogue}, booktitle = {Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)}, year = {2010}, month = {may}, date = {19-21}, address = {Valletta, Malta}, editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-6-7}, language = {english} } |