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CORR
2000
Springer

How to Evaluate your Question Answering System Every Day and Still Get Real Work Done

8 years 4 months ago
How to Evaluate your Question Answering System Every Day and Still Get Real Work Done
In this paper, we report on Qaviar, an experimental automated evaluation system for question answering applications. The goal of our research was to find an automatically calculated measure that correlates well with human judges' assessment of answer correctness in the context of question answering tasks. Qaviar judges the response by computing recall against the stemmed content words in the human-generated answer key. It counts the answer correct if it exceeds a given recall threshold. We determined that the answer correctness predicted by Qaviar agreed with the human 93% to 95% of the time. 41 question-answering systems were ranked by both Qaviar and human assessors, and these rankings correlated with a Kendall's Tau measure of 0.920, compared to a correlation of 0.956 between human assessors on the same data.
Eric Breck, John D. Burger, Lisa Ferro, Lynette Hi
Added 17 Dec 2010
Updated 17 Dec 2010
Type Journal
Year 2000
Where CORR
Authors Eric Breck, John D. Burger, Lisa Ferro, Lynette Hirschman, David House, Marc Light, Inderjeet Mani
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