Towards an automatic validation of answers in Question answering

被引：0
|
作者：
Ligozat, Anne-Laure [1 ]
Grau, Brigitte [1 ]
Vilnat, Anne [1 ]
Robba, Isabelle [1 ]
Grappy, Arnaud [1 ]
机构：
[1] LIMSI CNRS, F-91403 Orsay, France
来源：
19TH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, VOL II, PROCEEDINGS | 2007年
关键词：
D O I：
10.1109/ICTAI.2007.156
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Question answering (QA) aims at retrieving precise information from a large collection of documents. Different techniques can be used to find relevant information, and to compare these techniques, it is important to evaluate QA systems. The objective of an Answer Validation task is thus to judge the correctness of an answer returned by a QA system for a question, according to the text snippet given to support it. We participated in such a task in 2006 In this article, we present our strategy for deciding if the snippets justify the answers: a strategy based on our own QA system, comparing the answers it returned with the answer to judge. We discuss our results, then we point out the difficulties of this task.
引用
收藏
页码：444 / 447
页数：4
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