Concept indexing for automated text categorization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3136, Issue , 2004, Pages 195-206

  Gómez, José María ^a   Cortizo, José Carlos ^b   Puertas, Enrique ^a   Ruiz, Miguel ^b  

^a UNIVERSIDAD EUROPEA DE MADRID   (Spain)

^b AINet Solutions   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION RETRIEVAL; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS; TEXT PROCESSING;

AUTOMATED TEXT CATEGORIZATION; BAG OF WORDS; CONCEPT INDEXING; DISAMBIGUATION METHOD; SYNSETS; TEXT CATEGORIZATION; TEXT REPRESENTATION MODELS; WORDNET;

INDEXING (OF INFORMATION);

EID: 35048871622     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-27779-8_17     Document Type: Article

References (21)

1. Sebastiani, F.: Machine learning in automated text categorization. ACM Computing Surveys 34 (2002) 1-47
2. Salton, G.: Automatic text processing: the transformation, analysis, and retrieval of information by computer. Addison Wesley (1989)
3. Caropreso, M., Matwin, S., Sebastiani, F.: A learner-independent evaluation of the usefulness of statistical phrases for automated text categorization. In: Text Databases and Document Management: Theory and Practice. Idea Group Publishing (2001) 78-102
4. Lewis, D.D.: Representation and learning in information retrieval. PhD thesis, Department of Computer Science, University of Massachusetts, Amherst, US (1992)
5. Riloff, E.: Using learned extraction patterns for text classification. In: Connectionist, statistical, and symbolic approaches to learning for natural language processing, Springer Verlag (1996) 275-289
6. Fukumoto, F., Suzuki, Y.: Learning lexical representation for text categorization. In: Proceedings of the NAACL 2001 Workshop on WordNet and Other Lexical Resources. (2001)
7. Scott, S.: Feature engineering for a symbolic approach to text classification. Master's thesis, Computer Science Dept., University of Ottawa, Ottawa, CA (1998)
8. Gonzalo, J., Verdejo, F., Chugur, I., Cigarrán, J.: Indexing with WordNet synsets can improve text retrieval. In: Proceedings of the COLING/ACL Workshop on Usage of WordNet in Natural Language Processing Systems. (1998)
9. Junker, M., Abecker, A.: Exploiting thesaurus knowledge in rule induction for text classification. In: Proceedings of the, 2nd International Conference on Recent Advances in Natural Language Processing. (1997) 202-207
10. Liu, J., Chua, T.: Building semantic perceptron net for topic spotting. In: Proceedings of 37th Meeting of Association of Computational Linguistics. (2001)
11. Petridis, V., Kaburlasos, V., Fragkou, P., Kehagias, A.: Text classification using the σ-FLNMAP neural network. In: Proceedings of the 2001 International Joint Conference on Neural Networks. (2001)
12. Cavnar,.W., Trenkle, J.: N-gram-based text categorization. In: Proceedings of the 3rd Annual Symposium on Document Analysis and Information Retrieval, Las Vegas, US (1994) 161-175
13. Miller, G.A.: WordNet: A lexical database for English. Communications of the ACM 38 (1995) 39-41
14. Voorhees, E.: Using WordNet for text retrieval. In: WordNet: An Electronic Lexical Database. MIT Press (1998)
15. Mihalcea, R., Moldovan, D.: Semantic indexing using WordNet senses. In: Proceedings of ACL Workshop on IR and NLP. (2000)
16. Stokoe, C., Oakes, M.P., Tait, J.: Word sense disambiguation in information retrieval revisited. In: Proceedings of the 26th ACM International Conference on Research and Development in Information Retrieval. (2003)
17. Kilgarriff, A., Rosenzweig, J.: Framework and results for english SENSEVAL. Computers and the Humanities 34 (2000) 15-48
18. Miller, G.A., Leacock, C., Tengi, R., Bunker, R.: A semantic concordance. In: Proc. Of the ARPA Human Language Technology Workshop. (1993) 303-308
19. Kessler, B., Nunberg, G., Schütze, H.: Automatic detection of text genre. In: Proceedings of ACL-97, 35th Annual Meeting of the Association for Computational Linguistics, Madrid, ES (1997) 32-38
20. Yang, Y., Pedersen, J.: A comparative study on feature selection in text categorization. In: Proc. Of the 14th International Conf. On Machine Learning. (1997)
21. Frank, E., Witten, I.H.: Generating accurate rule sets without global optimization. In Shavlik, J., ed.: Machine Learning: Proceedings of the Fifteenth International Conference, San Francisco, CA, Morgan Kaufmann Publishers (1998)