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

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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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Dates and versions

hal-01389390 , version 1 (28-10-2016)

Identifiers

  • HAL Id : hal-01389390 , version 1

Cite

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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