论文信息 - CU-COMSEM: Exploring Rich Features for Unsupervised Web Personal Name Disambiguation

CU-COMSEM: Exploring Rich Features for Unsupervised Web Personal Name Disambiguation

The increasing number of web sources is exacerbating the named-entity ambiguity problem. This paper explores the use of various token-based and phrase-based features in unsupervised clustering of web pages containing personal names. From these experiments, we find that the use of rich features can significantly improve the disambiguation performance for web personal names.

Ying Chen | James H. Martin

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