J. He & D. Dai;
JMLR W&CP 20:351–366, 2011.
Summarization of Yes/No Questions Using a Feature Function Model
Answer summarization is an important problem in the study of Question and
Answering. In this paper, we deal with the general questions with “Yes∕
No” answers in English.
We design 1) a model to score the relevance of the answers and the questions, and 2) a feature
function combining the relevance and opinion scores to classify each answer to be “Yes”, “No” or
“Neutral”. We combine the opinion features together with two weighting scores to
solve this problem and conduct experiments on a real word dataset. Given an input
question, the system ﬁrstly detects if it can be simply answered by “Yes/No” or not, and
then outputs the resulting voting numbers of “Yes” answers and “No” answers to this
question. We also ﬁrst proposed the accuracy, precision, and recall to the “Yes/No” answer
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