NDLI: Automatic expansion of domain-specific lexicons by term categorization

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Automatic expansion of domain-specific lexicons by term categorization

Content Provider	ACM Digital Library
Author	Lavelli, Alberto Avancini, Henri Sebastiani, Fabrizio Zanoli, Roberto
Copyright Year	2006
Abstract	We discuss an approach to the automatic expansion ofdomain-specific lexicons, that is, to the problem ofextending, for each $c_{i}$ in a predefined $set\textit{C}$ $={c_{1},…,c_{m}}$ ofsemantic $\textit{domains},$ an initial $lexiconL^{i}_{0}$ into a larger $lexiconL^{i}_{1}.$ Our approach relies onterm categorization, defined as the task of labelingpreviously unlabeled terms according to a predefined set ofdomains. We approach this as a supervised learning problem in whichterm classifiers are built using the initial lexicons as trainingdata. Dually to classic text categorization tasks in whichdocuments are represented as vectors in a space of terms, werepresent terms as vectors in a space of documents. We present theresults of a number of experiments in which we use a boosting-basedlearning device for training our term classifiers. We test theeffectiveness of our method by using WordNetDomains, a well-knownlarge set of domain-specific lexicons, as a benchmark. Ourexperiments are performed using the documents in the Reuters CorpusVolume 1 as implicit representations for our terms.
Starting Page	1
Ending Page	30
Page Count	30
File Format	PDF
ISSN	15504875
e-ISSN	15504883
DOI	10.1145/1138379.1138380
Volume Number	3
Issue Number	1
Journal	ACM Transactions on Speech and Language Processing (TSLP)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2006-05-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Lexicons Machine learning Text classification
Content Type	Text
Resource Type	Article
Subject	1700/1701 Computational Mathematics

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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