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TPEMatcher: A tool for searching in parsed text corpora

Authors
Choi, Yong Suk
Issue Date
Dec-2011
Publisher
ELSEVIER
Keywords
Corpus search tool; Tree pattern querying; Tree pattern matching; Parsed text corpora; Text mining
Citation
KNOWLEDGE-BASED SYSTEMS, v.24, no.8, pp.1139 - 1150
Indexed
SCIE
SCOPUS
Journal Title
KNOWLEDGE-BASED SYSTEMS
Volume
24
Number
8
Start Page
1139
End Page
1150
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/166929
DOI
10.1016/j.knosys.2011.04.009
ISSN
0950-7051
Abstract
Recently, due to the widespread on-line availability of syntactically annotated text corpora, some automated tools for searching in such text corpora have gained great attention. Generally, those conventional corpus search tools use a decomposition-matching-merging method based on relational predicates for matching a tree pattern query to the desired parts of text corpora. Thus, their query formulation and expressivity are often complicated due to poorly understood query formalisms, and their searching tasks may require a big computational overhead due to a large number of repeated trials of matching tree patterns. To overcome these difficulties, we present TPEMatcher, a tool for searching in parsed text corpora. TPEMatcher provides not only an efficient way of query formulation and searching but also a good query expressivity based on concise syntax and semantics of tree pattern query. We also demonstrate that TPEMatcher can be effectively used for a text mining in practice with its useful interface providing in-depth details of search results.
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Choi, Yong Suk
COLLEGE OF ENGINEERING (SCHOOL OF COMPUTER SCIENCE)
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