A new method to extract n-Ary relation instances from scientific documents

Martin Lentschat,Patrice Buche,Juliette Dibie-Barthelemy,Mathieu Roche

Expert Systems with Applications（2022）

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Abstract

A new method to extract knowledge structured as n-Ary relations from scientific articles is presented. We designed and assessed different approaches to reconstruct instances of n-Ary relations extracted from scientific articles in experimental domains, driven by an Ontological and Terminological Resource (OTR) and based on multi-feature representation of relations and their arguments.

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Key words

N-ary relations,Natural language processing,Knowledge extraction,Information extraction,Ontological and terminological resource,Smart data

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