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
Machine Learning for Information Extraction
SCIE '97 International Summer School on Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology
Ontology Learning for the Semantic Web
IEEE Intelligent Systems
Learning Object Models from Semistructured Web Documents
IEEE Transactions on Knowledge and Data Engineering
Mining world knowledge for analysis of search engine content
Web Intelligence and Agent Systems
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In the context of language learning, we address a logical approach to information extraction. The system INTHELEX, used to carry out this task, requires a logic representation of sentences to run the learning algorithm. Hence, the need for parsers to produce structured representations from raw text. This led us to develop a prototypical Italian language parser, as a pre-processor in order to obtain the structured representation of sentences required for the symbolic learner to work. A preliminary experimentation proved that the logic approach to learning from language is able to capture the semantics underlying the kind of sentences that were processed, even if a comparison with classical methods as regards efficiency has still to be done.