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When Lexicon-Grammar Meets Open Information Extraction: a Computational Experiment for Italian Sentences
2019
Italian Conference on Computational Linguistics
In this work we show an experiment on building an Open Information Extraction system (OIE) for Italian language. We propose a system wholly reliant on linguistic structures and on a small set of verbal behavior patterns defined putting together theoretical linguistic knowledge and corpus-based statistical information 1 . Starting from elementary one-verb sentences, the system identifies elementary tuples and then, all their permutations, preserving the overall well-formedness (grammaticality)
dblp:conf/clic-it/GuarasciDME19
fatcat:brrecv2inbgctdlgja3bpqtrou