KNEWS: Using Logical and Lexical Semantics to Extract Knowledge from Natural Language

Abstract : We present KNEWS, a pipeline of NLP tools that accepts natural language text as input and outputs knowledge in a machine-readable format. The tool outputs frame-based knowledge as RDF triples or XML, including the word-level alignment with the surface form, as well as first-order logical formulae. KNEWS is freely available for download. Moreover, thanks to its versatility, KNEWS has already been employed for a number of different applications for information extraction and automatic reasoning.
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Proceedings of the European Conference on Artificial Intelligence (ECAI) 2016 conference, Aug 2016, The Hague, Netherlands
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Dernière modification le : mardi 13 décembre 2016 - 15:45:45

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Valerio Basile, Elena Cabrio, Claudia Schon. KNEWS: Using Logical and Lexical Semantics to Extract Knowledge from Natural Language. Proceedings of the European Conference on Artificial Intelligence (ECAI) 2016 conference, Aug 2016, The Hague, Netherlands. 〈hal-01389390〉

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