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1
Entity Linking meets Word Sense Disambiguation: A Unified Approach
In: http://wwwusers.di.uniroma1.it/~navigli/pubs/TACL_2014_Babelfy.pdf (2014)
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2
Multilingual word sense disambiguation and entity linking for everybody
In: http://ceur-ws.org/Vol-1272/paper_30.pdf (2014)
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3
R.: WiSeNet: Building a Wikipedia-based semantic network with ontologized relations
In: http://wwwusers.di.uniroma1.it/~navigli/pubs/CIKM_2012_Moro_Navigli.pdf (2012)
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4
Multilingual Word Sense Disambiguation and Entity Linking
In: http://aclweb.org/anthology/C/C14/C14-3003.pdf
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5
H.: Semantic rule filtering for web-scale relation extraction
In: http://wwwusers.di.uniroma1.it/~navigli/pubs/ISWC_2013_Moro_etal.pdf
Abstract: Abstract. Web-scale relation extraction is a means for building and extending large repositories of formalized knowledge. This type of automated knowledge building requires a decent level of precision, which is hard to achieve with au-tomatically acquired rule sets learned from unlabeled data by means of distant or minimal supervision. This paper shows how precision of relation extraction can be considerably improved by employing a wide-coverage, general-purpose lexical semantic network, i.e., BabelNet, for effective semantic rule filtering. We apply Word Sense Disambiguation to the content words of the automatically ex-tracted rules. As a result a set of relation-specific relevant concepts is obtained, and each of these concepts is then used to represent the structured semantics of the corresponding relation. The resulting relation-specific subgraphs of BabelNet are used as semantic filters for estimating the adequacy of the extracted rules. For the seven semantic relations tested here, the semantic filter consistently yields a higher precision at any relative recall value in the high-recall range.
Keyword: Relation Extraction; Rule Filtering; Semantic relations; Semantics; Web-scale; WSD
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.644.1160
http://wwwusers.di.uniroma1.it/~navigli/pubs/ISWC_2013_Moro_etal.pdf
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6
H.: Semantic rule filtering for web-scale relation extraction
In: http://wwwusers.di.uniroma1.it/~navigli/pubs/ISWC_2013_Moro_etal.pdf
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