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Overview of the INEX 2010 Question Answering Track (QA@INEX)

机译:INEX 2010问答环节(QA @ INEX)概述

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The INEX Question Answering track (QA@INEX) aims to evaluate a complex question-answering task using the Wikipedia. The set of questions is composed of factoid, precise questions that expect short answers, as well as more complex questions that can be answered by several sentences or by an aggregation of texts from different documents.Long answers have been evaluated based on Kullback Leibler (KL) divergence between n-gram distributions. This allowed summarization systems to participate. Most of them generated a readable extract of sentences from top ranked documents by a state-of-the-art document retrieval engine. Participants also tested several methods of question disambiguation.Evaluation has been carried out on a pool of real questions from OverBlog and Yahoo! Answers. Results tend to show that the baseline-restricted focused IR system minimizes KL divergence but misses readability meanwhile summarization systems tend to use longer and standalone sentences thus improving readability but increasing KL divergence.
机译:INEX问答路径(QA @ INEX)旨在使用Wikipedia评估复杂的问答任务。一组问题由拟真,精确的问题和简短的问题组成,这些问题可以由几个句子或来自不同文档的文本聚合来回答,而较复杂的问题则根据Kullback Leibler(KL )n元语法分布之间的差异。这允许摘要系统参与。他们中的大多数人都通过最新的文档检索引擎从排名最高的文档中生成了可读的句子摘录。参与者还测试了几种消除歧义的方法。评估是基于OverBlog和Yahoo!的一系列真实问题进行的。答案。结果倾向于表明,基线受限的聚焦IR系统使KL差异最小化,但错过了可读性,而摘要系统倾向于使用更长和独立的句子,从而提高了可读性,但增加了KL差异。

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