The art of computer programming, volume 3: (2nd ed.) sorting and searching
The art of computer programming, volume 3: (2nd ed.) sorting and searching
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
Is Hillary Rodham Clinton the president?: disambiguating names across documents
CorefApp '99 Proceedings of the Workshop on Coreference and its Applications
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
A robust web personal name information extraction system
Expert Systems with Applications: An International Journal
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Entity disambiguation resolves the many-to-many correspondence between mentions of entities in text and unique real-world entities. Fair Isaac's entity disambiguation uses language-independent entity context to agglomeratively resolve mentions with similar names to unique entities. This paper describes Fair Isaac's automatic entity disambiguation capability and assesses its performance on the SemEval 2007 Web People Search task.