Relation detection between named entities: report of a shared task



In this paper we describe the first evaluation contest (track) for Portuguese whose goal was to detect and classify relations between named entities in running text, called ReRelEM. Given a collection annotated with named entities belonging to ten different semantic categories, we marked all relationships between them within each document. We used the following fourfold relationship classification: identity, included-in, located-in, and other (which was later on explicitly detailed into twenty different relations). We provide a quantitative description of this evaluation resource, as well as describe the evaluation architecture and summarize the results of the participating systems in the track.


Natural Language Processing


SEW-2009 - Semantic Evaluations: Recent Achievements and Future Directions, NAACL-HLT 2009 Workshop, May 2009

Cited by

Year 2018 : 1 citations

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Year 2017 : 4 citations

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Year 2016 : 2 citations

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Year 2015 : 1 citations

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Year 2013 : 1 citations

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Year 2012 : 1 citations

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Year 2010 : 2 citations

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