Incremental learning of concept descriptions: A method and experimental results
Machine intelligence 11
Twenty Years of Document Image Analysis in PAMI
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multistrategy Theory Revision: Induction and Abductionin INTHELEX
Machine Learning - Special issue on multistrategy learning
Machine Learning for Information Extraction in Informal Domains
Machine Learning - Special issue on information retrieval
Advances in Inductive Logic Programming
Advances in Inductive Logic Programming
Machine Learning for Information Extraction
SCIE '97 International Summer School on Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology
Machine learning in automated text categorisation
Machine learning in automated text categorisation
Learning Recursive Patterns for Biomedical Information Extraction
Inductive Logic Programming
A taxonomic generalization technique for natural language processing
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
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This work addresses a logical approach to text categorization inside a framework aimed at full automatic paper document processing. The logic representation of sentences required by the adopted learning algorithm is obtained by detecting structure in raw text trough a parser. A preliminary experimentation proved that the logic approach is able to capture the semantics underlying some kind of sentences, even if the assessment of the efficiency of such a method, as well as a comparison with other related approaches, has still to be carried out.