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» Unsupervised Discrimination of Person Names in Web Contexts
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CICLING
2007
Springer
13 years 11 months ago
Unsupervised Discrimination of Person Names in Web Contexts
Ambiguous person names are a problem in many forms of written text, including that which is found on the Web. In this paper we explore the use of unsupervised clustering techniques...
Ted Pedersen, Anagha Kulkarni
CICLING
2009
Springer
14 years 5 months ago
Improved Unsupervised Name Discrimination with Very Wide Bigrams and Automatic Cluster Stopping
We cast name discrimination as a problem in clustering short contexts. Each occurrence of an ambiguous name is treated independently, and represented using second?order context vec...
Ted Pedersen
CICLING
2006
Springer
13 years 8 months ago
An Unsupervised Language Independent Method of Name Discrimination Using Second Order Co-occurrence Features
Previous work by Pedersen, Purandare and Kulkarni (2005) has resulted in an unsupervised method of name discrimination that represents the context in which an ambiguous name occurs...
Ted Pedersen, Anagha Kulkarni, Roxana Angheluta, Z...
ECAI
2006
Springer
13 years 8 months ago
Disambiguating Personal Names on the Web Using Automatically Extracted Key Phrases
Abstract. 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. Ho...
Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...
CICLING
2005
Springer
13 years 10 months ago
Name Discrimination by Clustering Similar Contexts
It is relatively common for different people or organizations to share the same name. Given the increasing amount of information available online, this results in the ever growing...
Ted Pedersen, Amruta Purandare, Anagha Kulkarni