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What is Automatic Term Recognition

Chapter 30
Handbook of Research on Text and Web Mining Technologies
An area related to the study, design and development of techniques for the extraction of stable lexical units from text, and the filtering of these lexical units, usually through some scoring and ranking schemes, for the identification of terms. Not considering the possibility of minor differences imposed by different researchers, this area may also be referred to as term extraction or terminology mining.
Published in Chapter:
Determination of Unithood and Termhood for Term Recognition
Wilson Wong (University of Western Australia, Australia)
Copyright: © 2009 |Pages: 30
DOI: 10.4018/978-1-59904-990-8.ch030
Abstract
As more electronic text is readily available, and more applications become knowledge intensive and ontology-enabled, term extraction, also known as automatic term recognition or terminology mining is increasingly in demand. This chapter first presents a comprehensive review of the existing techniques, discusses several issues and open problems that prevent such techniques from being practical in real-life applications, and then proposes solutions to address these issues. Keeping afresh with the recent advances in related areas such as text mining, we propose new measures for the determination of unithood, and a new scoring and ranking scheme for measuring termhood to recognise domain-specific terms. The chapter concludes with experiments to demonstrate the advantages of our new approach.
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