科研成果详情

题名Query interfaces understanding by statistical parsing
作者
发表日期2014-04-07
会议名称23rd International Conference on World Wide Web (WWW)
会议录名称WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web
ISBN9781450327459
页码1291-1294
会议日期APR 7-11, 2014
会议地点Seoul, SOUTH KOREA
摘要

Users submit queries to an online database via its query interface. Query interface parsing, which is important for many applications, understands the query capabilities of a query interface. Since most query interfaces are organized hierarchically, we present a novel query interface parsing method, StatParser (Statistical Parser), to automatically extract the hierarchical query capabilities of query interfaces. StatParser automatically learns from a set of parsed query interfaces and parses new query interfaces. StatParser starts from a small grammar and enhances the grammar with a set of probabilities learned from parsed query interfaces under the maximum-entropy principle. Given a new query interface, the probability-enhanced-grammar identifies the parse tree with the largest global probability to be the query capabilities of the query interface. Experimental results show that StatParser very accurately extracts the query capabilities and can effectively overcome the problems of existing query interface parsers.

关键词Maximum entropy Query interface
DOI10.1145/2567948.2579702
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收录类别SCIE
语种英语English
WOS研究方向Computer Science
WOS类目Computer Science, Information Systems ; Computer Science, Theory & Methods
WOS记录号WOS:000455947000327
Scopus入藏号2-s2.0-84990967194
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/6497
专题理工科技学院
作者单位
1.BNU-HKBU United International College,Zhuhai, Guangdong Prov.,China
2.Hong Kong University of Science and Technology,Hong Kong,China
第一作者单位北师香港浸会大学
推荐引用方式
GB/T 7714
Su, Weifeng,Li, Yafei,Lochovsky, Frederick H. Query interfaces understanding by statistical parsing[C], 2014: 1291-1294.
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