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

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.

REFERENCES

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INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.1 Content Analysis and Indexing
  H.4 INFORMATION SYSTEMS APPLICATIONS
      H.4.2 Types of Systems

General Terms:
Algorithms, Experimentation, Measurement, Performance

Keywords:
clustering, person name disambiguation