Paper: Experiments With Open-Domain Textual Question Answering

ACL ID C00-1043
Title Experiments With Open-Domain Textual Question Answering
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2000
Authors

This paper describes the integration of several knowledge-based natural language processing tech- niques into a Question Answering system, capable of mining textual answers from large collections of texts. Surprizing quality is achieved when several lightweight knowledge-based NLP techniques com- I)lement mostly shallow, surface-based approaclms. 1 Background The last decade has witnessed great advances and interest in the area of Information Extraction (IE) fi'om real-world texts. Systems that participated in the TIPSTER MUC competitions have been quite sue- cessflll at extracting information from newswire rues- sages and filling templates with inforInation pertain- ing to events or situations of interest. Typically, the templates model queries regarding who did what to wh, om, when and w...