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TREC
2000

Goal-Driven Answer Extraction

13 years 5 months ago
Goal-Driven Answer Extraction
We describe the structure and functioning of an answer-extraction system built from the ground up, in only three person-months, using shallow text-processing techniques. Underlying these techniques is the attribution to each question of a goal type serving to characterize the outward form of candidate answers. The goal type is used as a filter during long-answer extraction, essentially a small-scale IR process which returns 250-byte windows rather than whole documents. To obtain short answers, strings matching the goal type are extracted from these windows and ranked by heuristics. TREC-9 performance figures show that our system has difficulty dealing with brief, definition-based questions of the kind most likely to be posed by users. We propose that specialized QA strategies be developed to handle such cases. 1 System Overview In the following we shall refer to our system by the working title xr3 , which stands for eXtraction de R
Michael Laszlo, Leila Kosseim, Guy Lapalme
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 2000
Where TREC
Authors Michael Laszlo, Leila Kosseim, Guy Lapalme
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