ACM Computing Surveys (CSUR)
Toponym resolution in text (abstract only): "which sheffield is it?"
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
HLT '91 Proceedings of the workshop on Speech and Natural Language
Person resolution in person search results: WebHawk
Proceedings of the 14th ACM international conference on Information and knowledge management
Meaningful clustering of senses helps boost word sense disambiguation performance
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Disambiguating Personal Names on the Web using Automatically Extracted Key Phrases
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
The SemEval-2007 WePS evaluation: establishing a benchmark for the web people search task
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
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We describe a system, UNN-WePS for identifying individuals from web pages using data from Semeval Task 13. Our system is based on using co-presence of person names to form seed clusters. These are then extended with pages that are deemed conceptually similar based on a lexical chaining analysis computed using Roget's thesaurus. Finally, a single link hierarchical agglomerative clustering algorithm merges the enhanced clusters for individual entity recognition. UNN-WePS achieved an average purity of 0.6, and inverse purity of 0.73.