Work

Entity Disambiguation with Web Links

Year: 2015

Type: article

Abstract: 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.

Source: Transactions of the Association for Computational Linguistics

DOI: 10.1162/tacl_a_00129

Authors: Andrew Chisholm, Ben Hachey

Institution: The University of Sydney

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funder: Australian Research Council

Award: WikiLinks: web-scale linking and fact extraction with Wikipedia