Abstract
QA-LaSIE was the heart of the University of Sheffeld entry to the Question Answering track of TREC-9. By relaxing some of the strongest linguistic constraints, we achieved a very significant performance improvement over our TREC-8 system on both the TREC-8 and TREC-9 tasks. Whereas most systems returned answers that were always close to the maximum allowable length, our system was one of the only entries that tried to return an “exact answer” to a question.
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Scott, S., Gaizauskas, R. (2000). QA-LaSIE: A Natural Language Question answering system. In: Stroulia, E., Matwin, S. (eds) Advances in Artificial Intelligence. Canadian AI 2001. Lecture Notes in Computer Science(), vol 2056. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45153-6_17
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DOI: https://doi.org/10.1007/3-540-45153-6_17
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