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An Adapted Lesk Algorithm for Word Sense Disambiguation Using WordNet
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Automatic word sense discrimination
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COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
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COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
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SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
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WWW '05 Proceedings of the 14th international conference on World Wide Web
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AI Magazine - Special issue on semantic integration
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CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
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ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
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AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
TITPI: web people search task using semi-supervised clustering approach
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
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PRICAI'10 Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence
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When you search for information regarding a particular person on the web, a search engine returns many pages. Some of these pages may be for people with the same name. How can we disambiguate these different people with the same name? This paper presents an unsupervised algorithm which produces key phrases for the different people with the same name. These key phrases could be used to further narrow down the search, leading to more person specific unambiguous information. The algorithm we propose does not require any biographical or social information regarding the person. Although there are some previous work in personal name disambiguation on the web, to our knowledge, this is the first attempt to extract key phrases to disambiguate the different persons with the same name. To evaluate our algorithm, we collected and hand labeled a dataset of over 1000 Web pages retrieved from Google using personal name queries. Our experimental results shows an improvement over the existing methods for namesake disambiguation.