Entity disambiguation with decomposable neural networks
Sign Up to like & getrecommendations! Published in 2017 at "Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery"
DOI: 10.1002/widm.1215
Abstract: Entity disambiguation is a fundamental task in natural language processing and computational linguistics. Given a query consisting of a mention (name string) and a background document, entity disambiguation aims at linking the mention to an… read more here.
Keywords: neural network; entity; entity disambiguation; mention entity ... See more keywords
Named entity disambiguation in short texts over knowledge graphs
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DOI: 10.1007/s10115-021-01642-9
Abstract: The ever-growing usage of knowledge graphs (KGs) positions named entity disambiguation (NED) at the heart of designing accurate KG-driven systems such as query answering systems (QAS). According to the current research, most studies dealing with… read more here.
Keywords: entity; knowledge; entity disambiguation; knowledge graphs ... See more keywords
Robust named entity disambiguation with random walks
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DOI: 10.3233/sw-170273
Abstract: Named Entity Disambiguation is the task of assigning entities from a Knowledge Base to mentions of such entities in a textual document. This article presents two novel approaches guided by a natural notion of semantic… read more here.
Keywords: disambiguation; entity disambiguation; robust named; disambiguation random ... See more keywords