Alignment-based surface patterns for factoid question answering systems
Alignment-based surface patterns for factoid question answering systems
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DOI：
10.3233/ica-2009-0313
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发表时间：
2009-01-01
影响因子：
6.5
通讯作者：
Hsu, Wen-Lian
中科院分区：
文献类型：
--
作者：
Sung, Cheng-Lung;Lee, Cheng-Wei;Hsu, Wen-Lian
我们提出了一个基于语义的表面模式的方法，称为ABSP，它集成了语义信息到句法模式的问题回答（QA）。ABSP采用了一种新的策略，从非分割通道提取表面模式。该方法利用表层模式从问句中提取重要术语，然后从语料库中的句子中构建术语之间的关系。最后，使用这些关系对候选答案进行排序。我们的实验表明，ABSP是高度准确的，它可以被纳入其他QA系统，具有高覆盖率。它也可以用于跨语言QA系统。该方法是鲁棒的，可移植到其他领域。
We propose an alignment-based surface pattern approach, called ABSP, which integrates semantic information into syntactic patterns for question answering (QA). ABSP employs a new strategy to extract surface patterns from non-segmented passages. It uses the surface patterns to extract important terms from questions, and then constructs the terms' relations from sentences in the corpus. Finally, the relations are used to rank answer candidates. Our experiments show that ABSP is highly accurate, and it can be incorporated into other QA systems that have high coverage. It can also be used in cross-lingual QA systems. The approach is robust and portable to other domains.