Learning from parsed sentences with INTHELEX
Floriana Esposito, Stefano Ferilli, Nicola Fanizzi, Giovanni Maria Semeraro · 2000
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 preprocessor 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.