KNEWS

KNEWS: Using Logical and Lexical Semantics to Extract Knowledge from Natural Language. 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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References in zbMATH (referenced in 1 article )

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  1. Claudia Schon, Sophie Siebert, Frieder Stolzenburg: Using ConceptNet to Teach Common Sense to an Automated Theorem Prover (2019) arXiv