Automatic word sense discrimination
Computational Linguistics - Special issue on word sense disambiguation
Entity-based cross-document coreferencing using the Vector Space Model
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Unsupervised personal name disambiguation
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
Finding predominant word senses in untagged text
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Name discrimination by clustering similar contexts
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
Identifying similar words and contexts in natural language with SenseClusters
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 4
Multilingual name disambiguation with semantic information
TSD'07 Proceedings of the 10th international conference on Text, speech and dialogue
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This paper describes adaptations of unsupervised word sense discrimination techniques to the problem of name discrimination. These methods cluster the contexts containing an ambiguous name, such that each cluster refers to a unique underlying person or place. We also present new techniques to assign meaningful labels to the discovered clusters.