交互式问答系统能够与用户进行对话式交互进而处理用户提出的一系列问题。交互式问答技术是近些年来问答技术的一个热门方向。该文首次深入研究交互式问答中待消解项的识别方法。根据语料统计了交互式问答中待消解项的分布情况并进行相关实验,运用前人研究的启发式规则与平面特征相结合的方法在交互式问答中测试识别待消解项的性能。结合交互式问答的特点提出了专有名词的两个基于交互式问答特点的特征,并在TREC QA问题集语料中进行相关实验。实验结果表明,代词、有定名词用已有的方法识别效果较好,在加入本文提出的新特征后,在专有名词上也取得了较好的效果。
Abstract
Interactive Question Answering (IQA), a hot research topic in the area of QA, can interact with users to process a series of questions from users just like talking to them. This paper systematically explores anaphoricity determination for coreference resolution in IQA. The statistic of the corpus shows the distribution of anaphoricity and the experiment in the TREC QA questions set which uses the rule-based and flat feature-based method shows the performance of anaphoricity determination for coreference resolution in IQA. On the basis of the characteristic of IQA, two flat features about proper noun are proposed. Experimental results show that the proper method and the proposed feature is effective.
关键词
交互式问答 /
待消解项识别 /
指代消解
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Key words
interactive question answering /
Anaphoricity Determination /
coreference resolution
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参考文献
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