Entity Disambiguation with Web Links

Author:

Chisholm Andrew1,Hachey Ben1

Affiliation:

1. School of Information Technologies, University of Sydney, NSW 2006, Australia,

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.

Publisher

MIT Press - Journals

Cited by 33 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Entity linking for English and other languages: a survey;Knowledge and Information Systems;2024-04-02

2. Knowledge graph-based manufacturing process planning: A state-of-the-art review;Journal of Manufacturing Systems;2023-10

3. Knowledge-graph-enabled biomedical entity linking: a survey;World Wide Web;2023-05-02

4. Exploiting anonymous entity mentions for named entity linking;Knowledge and Information Systems;2022-12-07

5. Multimodal Entity Linking with Gated Hierarchical Fusion and Contrastive Training;Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval;2022-07-06

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