Paper: The role of named entities in Web People Search

ACL ID D09-1056
Title The role of named entities in Web People Search
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2009

The ambiguity of person names in the Web has become a new area of interest for NLP researchers. This challenging problem has been formulated as the task of clustering Web search results (returned in response to a person name query) according to the individual they mention. In this paper we compare the coverage, reliability and in- dependence of a number of features that are potential information sources for this clustering task, paying special attention to the role of named entities in the texts to be clustered. Although named entities are used in most approaches, our results show that, independently of the Machine Learn- ing or Clustering algorithm used, named entity recognition and classification per se only make a small contribution to solve the problem.