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Publications in 2007 or before in Web/Text Mining

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  • Fabrice Colas, Pavel Paclík, Joost N. Kok, P. Brazdil:  Does SVM Really Scale Up to Large Bag of Words Feature Spaces? Advances in Intelligent Data Analysis VII, 296-307, 2007

  • Carmen Rebelo, Pedro Quelhas Brito, Carlos Soares, Alipio M. Jorge, Quantitative Evaluation of Clusterings for Marketing Applications: a Web Portal Case Study, Progress In Artificial Intelligence, Proceedings of the 13th Portuguese Conference on Artificial Intelligence Workshops (EPIA 2007), Springer LNCS Volume 4874, page 437--448 - December 2007
  • João P. Cordeiro, Gaël Dias, Pavel Brazdil: New Functions for Unsupervised Asymmetrical Paraphrase Detection, Journal of Software, Volume 2, Number 4, page 12--23 - October 2007 [DBLP]
  • João P. Cordeiro, Gaël Dias, G. Cleuziou: Biology Based Alignments of Paraphrases for Sentence Compression, Proceedings of the Workshop on Textual Entailment and Paraphrasing (ACL-PASCAL), in the 45th Annual Meeting of the Association for Computational Linguistics (ACL 2007) - June 2007
  • João P. Cordeiro, Gaël Dias, Pavel Brazdil: A Metric for Paraphrase Detection, Proceedings of the 2nd International Multi-Conference on Computing in the Global Information Technology (ICCGI 2007) - March 2007
  • João P. Cordeiro, Gaël Dias, Pavel Brazdil: Unsupervised Learning of Paraphrase: Proceedings of the 8th International Conference on Intelligent Text Processing and Computational Linguistics (CICLING 2007) - February 2007
  • João P. Cordeiro, Gaël Dias, Pavel Brazdil: Learning Paraphrases from WNS Corpora, Proceedings of the 20th International Florida Artificial Intelligence Research Society Conference (FLAIRS 2007), page 193--198 - May 2007 [DBLP]

  • Patil, K. and Brazdil, P., SumGraph: Text Summarization using Centrality in the Pathfinder Network, International Journal on Computer Science and Information Systems, 2(1), pp. 18--32, 2007.

  • Patil, K., Brazdil, P., Text Summarization: using Centrality in the Pathfinder Network, IADIS Int. Conf. on Applied Computing 2007, Salamanca, Spain, 2007. (outstanding paper award)

  • Carmen Rebelo, Pedro Quelhas Brito, Carlos Soares, Alipio M. Jorge, Quantitative Evaluation of Clusterings for Marketing Applications: a Web Portal Case Study, Progress In Artificial Intelligence, Proceedings of the 13th Portuguese Conference on Artificial Intelligence Workshops (EPIA 2007), Springer LNCS Volume 4874, page 437--448 - December 2007

  • Nuno Escudeiro, Alipio M. Jorge, Semi-automatic creation and maintenance of Web Resources with webTopic, Semantics, Web and Mining - Proceedings of the Joint International Workshop on European Web Mining Forum (EWMF 2005) and the Workshop on Knowledge Discovery and Ontologies (KDO 2005), Springer LNCS, Volume 4289, page 82--102 - 2006

  • Ana Costa e Silva, Alipio M. Jorge, Luís Torgo, Design of an end-to-end method to extract information from tables International Journal on Document Analysis and Recognition, Volume 8, Number 2-3, page 144--171 - June 2006

  • F. Colas, P. Brazdil: On the Behavior of SVM and Some Older Algorithms in Binary Text Classification Tasks, in Text, Speech and Dialog, LNCS, Vol. 4188, pp. 45-52, SpringerLink, 2006.

  • Ana Costa e Silva, Alí­pio Jorge, Luí­s Torgo, Design of an end-to-end method to extract information from tables, International Journal on Document Analysis and Recognition, Springer-Verlag, 2006.

  • Carlos Soares, Alí­pio Jorge, and Marcos Aurélio Domingues, Monitoring the Quality of Meta-Data inWeb Portals Using Statistics, Visualization and Data Mining, Proceedings of EPIA 2005, LNCS, Vol. 3808, pp 371 - 382, Springer, December 2005

  • Cordeiro, J., Brazdil, P.: Learning Text Extraction Rules, without Ignoring Stop Words. in the 4th International Workshop on Pattern Recognition in Information Systems - PRIS 2004; pp. 128-138. (CI - DBLP)