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2013 | OriginalPaper | Chapter

A Fully Semantic Approach to Large Scale Text Categorization

Authors : Nicoletta Dessì, Stefania Dessì, Barbara Pes

Published in: Information Sciences and Systems 2013

Publisher: Springer International Publishing

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Abstract

Text categorization is usually performed by supervised algorithms on the large amount of hand-labelled documents which are labor-intensive and often not available. To avoid this drawback, this paper proposes a text categorization approach that is designed to fully exploiting semantic resources. It employs the ontological knowledge not only as lexical support for disambiguating terms and deriving their sense inventory, but also to classify documents in topic categories. Specifically, our work relates to apply two corpus-based thesauri (i.e. WordNet and WordNet Domains) for selecting the correct sense of words in a document while utilizing domain names for classification purposes. Experiments presented show how our approach performs well in classifying a large corpus of documents. A key part of the paper is the discussion of important aspects related to the use of surrounding words and different methods for word sense disambiguation.

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Literature
1.
Liu T, Yang Y, Wan H et al (2005) An experimental study on large-scale web categorization. In: Posters proceedings of the 14th international World Wide Web conference, pp 1106–1107
2.
Sebastiani F (2002) Machine learning in automated text categorization. ACM Comput Surv 34(1):1–47CrossRef
3.
4.
Bai R, Wang X, Liao J (2010) Extract semantic information from WordNet to improve text classification performance. In: Proceedings of the international conference on Advances in computer science and information technology. LNCS 6059:409–420
5.
Miller GA (1995) WordNet: a Lexical database for English. Commun ACM 38(11):39–41CrossRef
6.
Fellbaum C (ed) (1998) WordNet: an electronic Lexical database. MIT Press, CambridgeMATH
7.
Magnini B, Cavaglià G (2000) Integrating subject field codes into WordNet. In: Proceedings of LREC-2000, 2nd international conference on language resources and evaluation, Athens, Greece, pp 1413–1418
8.
Bentivogli L, Forner P, Magnini B et al (2004) Revising WordNet domains hierarchy: semantics, coverage, and balancing. In: Proceedings of COLING workshop on multilingual Linguistic resources. Switzerland, Geneva, pp 101–108
9.
Kulkarni S, Singh A, Ramakrishnan G et al (2009) Collective annotation of Wikipedia entities in web text. In: Proceedings of ACM KDD, pp 457–466
10.
Mihalcea R, Csomai A (2007) Wikify!: linking documents to encyclopedic knowledge. In: Proceedings of ACM CIKM, pp 233–242
11.
12.
Bizer C, Lehmann J, Kobilarov G et al (2009) DBpedia: a crystallization Point for the Web of Data. J Web Semant: Sci, Serv Agents WWW 7:154–165CrossRef
13.
de Buenaga Rodriguez M, Gomez-Hidalgo J, Diaz-Agudo B (1997) Using WordNet to complement training information in text categorization. In: Proceedings of the 2nd international conference on recent advances in natural language processing (RANLP’97), pp 150–157
14.
Gan M, Dou X, Jiang R (2013) From ontology to semantic similarity: calculation of ontology-based semantic similarity. Sci World J , Article ID 793091, p 11
15.
Basile P, De Gemmis M, Gentile AL et al (2007) UNIBA: JIGSAW algorithm for Word Sense Disambiguation, In: Proceedings of the 4th international workshop on semantic evaluations (SemEval-2007), pp 398–401
16.
Jiang J, Conrath D (1997) Semantic similarity based on corpus statistics and lexical taxonomy. In: Proceedings on international conference on research in computational linguistics, pp 19–33
17.
Lin D (1998) An information-theoretic definition of similarity. In: Proceedings of the international conference on machine learning, Madison, pp 296–304
18.
Resnik P (1995) Using information content to evaluate semantic similarity in a taxonomy. In: Proceedings of the 14th international joint conference on, artificial intelligence, pp 448–453
19.
Leacock C, Chodorow M (1998) Combining local context and WordNet similarity for word sense identification. In: Fellbaum C (ed) WordNet: an electronic lexical database, pp 265–283 (MIT Press)
20.
Miller GA, Leacock C, Tengi R et al (1993) A semantic concordance. In: Proceedings of ARPA workshop on human language technology, pp 303–308
Metadata
Title
A Fully Semantic Approach to Large Scale Text Categorization
Authors
Nicoletta Dessì
Stefania Dessì
Barbara Pes
Copyright Year
2013
Book
Information Sciences and Systems 2013

Print ISBN: 978-3-319-01603-0

Electronic ISBN: 978-3-319-01604-7

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-3-319-01604-7_15

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