Steven Abney
ABSTRACT
Information retrieval systems have typically concentrated on retrieving a set of documents which are relevant to a user's query. This paper describes a system that attempts to retrieve a much smaller section of text, namely, a direct answer to a user's question. The SMART IR system is used to extract a ranked set of passages that are relevant to the query. Entities are extracted from these passages as potential answers to the question, and ranked for plausibility according to how well their type matches the query, and according to their frequency and position in the passages. The system was evaluated at the TREC-8 question answering track: we give results and error analysis on these queries.
- Steven Abney. 1996. Partial parsing via finitestate cascades. J. Natural Language Engineering, 2(4):337--344, December. Google Scholar
Digital Library
- C. Buckley and A.F. Lewit. 1985. Optimization of inverted vector searches. In Proc. Eighth International ACM SIGIR Conference, pages 97--110. Google ScholarDigital Library
- Michael Collins and Yoram Singer. 1999. Unsupervised models for named entity classification. In EMNLP.Google Scholar
- G. Salton, editor. 1971. The Smart Retrieval System - Experiments in Automatic Document Processing. Prentice-Hall, Inc., Englewood Cliffs, NJ. Google ScholarDigital Library
- Answer extraction
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