Answer formulation for question-answering

被引:0
|
作者
Kosseim, L
Plamondon, L
Guillemette, LJ
机构
[1] Concordia Univ, Montreal, PQ H3G 1M8, Canada
[2] Univ Montreal, RALI, DIRO, Montreal, PQ H3C 3J7, Canada
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we describe our experimentations in evaluating answer formulation for question-answering (QA) systems. In the context of QA, answer formulation can serve two purposes: improving answer extraction or improving human-computer interaction (HCI). Each purpose has different precision/recall requirements. We present our experiments for both purposes and argue that formulations of better grammatical quality axe beneficial for both answer extraction and HCI.
引用
收藏
页码:24 / 34
页数:11
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