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Entity Disambiguation

15 papers with code · Natural Language Processing

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Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation

CONLL 2016 wikipedia2vec/wikipedia2vec

The KB graph model learns the relatedness of entities using the link structure of the KB, whereas the anchor context model aims to align vectors such that similar words and entities occur close to one another in the vector space by leveraging KB anchors and their context words.

ENTITY DISAMBIGUATION ENTITY LINKING

Entity Disambiguation with Web Links

TACL 2015 wikilinks/nel

Entity disambiguation with Wikipedia relies on structured information from redirect pages, article text, inter-article links, and categories.

ENTITY DISAMBIGUATION ENTITY LINKING KNOWLEDGE BASE POPULATION

Deep Joint Entity Disambiguation with Local Neural Attention

EMNLP 2017 dalab/deep-ed

We propose a novel deep learning model for joint document-level entity disambiguation, which leverages learned neural representations.

ENTITY DISAMBIGUATION

End-to-End Neural Entity Linking

CONLL 2018 dalab/end2end_neural_el

Entity Linking (EL) is an essential task for semantic text understanding and information extraction.

ENTITY DISAMBIGUATION ENTITY EMBEDDINGS ENTITY LINKING

Studying the Wikipedia Hyperlink Graph for Relatedness and Disambiguation

5 Mar 2015asoroa/ukb

Hyperlinks and other relations in Wikipedia are a extraordinary resource which is still not fully understood.

ENTITY DISAMBIGUATION

Mixing Context Granularities for Improved Entity Linking on Question Answering Data across Entity Categories

SEMEVAL 2018 UKPLab/starsem2018-entity-linking

We investigate entity linking in the context of a question answering task and present a jointly optimized neural architecture for entity mention detection and entity disambiguation that models the surrounding context on different levels of granularity.

ENTITY DISAMBIGUATION ENTITY LINKING KNOWLEDGE BASE QUESTION ANSWERING

Named Entity Disambiguation using Deep Learning on Graphs

22 Oct 2018ContextScout/ned-graphs

We tackle \ac{NED} by comparing entities in short sentences with \wikidata{} graphs.

ENTITY DISAMBIGUATION

Collective Entity Disambiguation with Structured Gradient Tree Boosting

NAACL 2018 bloomberg/sgtb

To the best of our knowledge, our work is the first one that employs the structured gradient tree boosting (SGTB) algorithm for collective entity disambiguation.

ENTITY DISAMBIGUATION