The use of dynamic segment scoring for language-independent question answering

Authors:
Daniel Pack;Clifford Weinstein
Affiliations:
MIT Lincoln Laboratory, Lexington, Massachusettes;MIT Lincoln Laboratory, Lexington, Massachusettes
Venue:
HLT '01 Proceedings of the first international conference on Human language technology research
Year:
2001

Citing 1
Cited 0

A simple rule-based part of speech tagger

ANLC '92 Proceedings of the third conference on Applied natural language processing

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Abstract

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 performance of the proposed system using the latest Text REtrieval Conference (TREC-8) data was comparable to results reported by the top TREC-8 contenders.