TPE Based Tuple Extraction Method for Question and Answering System

Information Science and Applications(2014)

引用 1|浏览25
暂无评分
摘要
In order to develop effective question and answering (Q&A) system, it is necessary to analyze syntactic structures of sentence and extract a set of semantically important words (tuple) from them. In this paper, we propose Tree Pattern Expression (TPE) based tuple extraction method for high-performance Q&A system. To extract tuples from target sentences more accurately than conventional Q&A systems, TPE and its fast pattern matching algorithm are used. A tuple consists of subject, predicate, object, preposition and its object, which may contain a correct answer part for a given question. In experiments, our TPE based method performs much better than traditional ones for Q&A system, as we expected, because our method elicits key structures of complicated sentences elaborately and thus extracts their associated tuples more accurately.
更多
查看译文
关键词
natural language processing,pattern matching,question answering (information retrieval),tpe based tuple extraction method,high-performance q&a system,pattern matching algorithm,question and answering system,semantically important word extraction,sentence syntactic structure analysis,tree pattern expression,knowledge discovery,semantics,data mining
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要