A comparison of retrieval-based hierarchical clustering approaches to person name disambiguation

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. Categories and Subject Descriptors: H.3 [Information Storage and Retrieval]: H.3.1 Content Analysis and Indexing; H.3.3 Information Search and Retrieval; H.3.4 Systems and Software; H.4 [Information Systems Applications]: H.4.2 Types of Systems General Terms: Algorithms, Measurement, Performance, Experimentation

• Type: Conference
• Year: 2009
• Where: SIGIR
• Authors: Christof Monz, Wouter Weerkamp
• Keywords: Information Retrieval, People Search Task, SIGIR 2009, Simple Clustering Approach, Standard Ir Concepts