Robust Disambiguation of Web-Based Personal Names

Abstract

Personal name ambiguity is common in the fast growing web resource. This paper explores robust features for web personal name disambiguation, which is totally unsupervised and is not limited to the given web corpus. The experiments show that the broad features not only can improve the performance, but also increase the robustness of a disambiguation system.