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TPEMatcher: A tool for searching in parsed text corpora

Title
TPEMatcher: A tool for searching in parsed text corpora
Author
최용석
Keywords
Corpus search tool; Tree pattern querying; Tree pattern matching; Parsed text corpora; Text mining
Issue Date
2011-12
Publisher
Elsevier Science B.V., Amsterdam.
Citation
Knowledge-based systems, 2011, 24(8), P.1139-1150
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.
URI
https://www.sciencedirect.com/science/article/pii/S095070511100075X?via%3Dihubhttp://hdl.handle.net/20.500.11754/66824
ISSN
0950-7051
DOI
10.1016/j.knosys.2011.04.009
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
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