Unsupervised personal name disambiguation
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
Towards breaking the quality curse.: a web-querying approach to web people search.
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
WEST: Modern Technologies for Web People Search
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
GRAPE: A Graph-Based Framework for Disambiguating People Appearances in Web Search
ICDM '09 Proceedings of the 2009 Ninth IEEE International Conference on Data Mining
Carrot2: design of a flexible and efficient web information retrieval framework
AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
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Name ambiguity is a big challenge in people information retrieval and has received considerable attention, especially with the increasing volume of Web data in recent years. In this demo, we present a system, GRAPE, which is capable of finding people related information over the Web. The salient features of our system are people name disambiguation and people tag presentation, which effectively distinguish different people entities sharing the same name and uniquely represent each namesake with a cluster of tags, such as occupation, birthdate, and organization.