Entity Disambiguation with Web Links | Zendy

Andrew M. Chisholm | Zendy; Ben Hachey | Zendy

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Entity Disambiguation with Web Links

Author(s) -

Andrew M. Chisholm,

Ben Hachey

Publication year - 2015

Publication title -

transactions of the association for computational linguistics

Language(s) - English

Resource type - Journals

ISSN - 2307-387X

DOI - 10.1162/tacl_a_00129

Subject(s) - computer science , encyclopedia , information retrieval , context (archaeology) , world wide web , coherence (philosophical gambling strategy) , web page , natural language processing , paleontology , physics , quantum mechanics , library science , biology

Entity disambiguation with Wikipedia relies on structured information from redirect pages, article text, inter-article links, and categories. We explore whether web links can replace a curated encyclopaedia, obtaining entity prior, name, context, and coherence models from a corpus of web pages with links to Wikipedia. Experiments compare web link models to Wikipedia models on well-known conll and tac data sets. Results show that using 34 million web links approaches Wikipedia performance. Combining web link and Wikipedia models produces the best-known disambiguation accuracy of 88.7 on standard newswire test data.

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