Computer Science – Computation and Language
Scientific paper
2001-07-03
Computer Science
Computation and Language
Revision of paper appearing in the Proceedings of the Workshop on Open-Domain Question Answering
Scientific paper
In this paper we analyze two question answering tasks : the TREC-8 question answering task and a set of reading comprehension exams. First, we show that Q/A systems perform better when there are multiple answer opportunities per question. Next, we analyze common approaches to two subproblems: term overlap for answer sentence identification, and answer typing for short answer extraction. We present general tools for analyzing the strengths and limitations of techniques for these subproblems. Our results quantify the limitations of both term overlap and answer typing to distinguish between competing answer candidates.
Breck Eric
Light Marc
Mann Gideon S.
Pranav Anand Brianne Brown
Riloff Ellen
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