PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Comparison of Retrieval-Based Hierarchical Clustering Approaches to Person Name Disambiguation
Christof Monz and Wouter Weerkamp
In: SIGIR 2009, July 19-23, 2009, Boston, USA.


This paper describes a simple clustering approach to person name disambiguation of retrieved documents. The methods are based on standard IR concepts and do not require any task-specific features. We compare different term-weighting and indexing methods and evaluate their performance against the Web People Search task (WePS). Despite their simplicity these approaches achieve very competitive performance.

PDF - Requires Adobe Acrobat Reader or other PDF viewer.
EPrint Type:Conference or Workshop Item (Poster)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
Information Retrieval & Textual Information Access
ID Code:6709
Deposited By:Christof Monz
Deposited On:08 March 2010