Paper: The Use Of Dynamic Segment Scoring For Language-Independent Question Answering

ACL ID H01-1074
Title The Use Of Dynamic Segment Scoring For Language-Independent Question Answering
Venue Human Language Technologies
Session Main Conference
Year 2001
Authors

This paper presents a novel language-independent question/answering (Q/A) system based on natural language processing techniques, shallow query understanding, dynamic sliding window techniques, and statistical proximity distribution matching techniques. The per- formance of the proposed system using the latest Text REtrieval Conference (TREC-8) data was comparable to results reported by the top TREC-8 contenders. Keywords Question/Answer, Natural Language Processing, Query Understand- ing, Dynamic Sliding Window, Proximity Distribution 1.