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

Authors:
Christof Monz;Wouter Weerkamp
Affiliations:
University of Amsterdam, Amsterdam, Netherlands;University of Amsterdam, Amsterdam, Netherlands
Venue:
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Year:
2009

Citing 4
Cited 1

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Introduction to Information Retrieval
The SemEval-2007 WePS evaluation: establishing a benchmark for the web people search task

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CU-COMSEM: exploring rich features for unsupervised web personal name disambiguation

SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
PSNUS: web people name disambiguation by simple clustering with rich features

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Result disambiguation in web people search

ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval

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Abstract

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.