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KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 9 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
WWW
2008
ACM
14 years 9 months ago
Hidden sentiment association in chinese web opinion mining
The boom of product review websites, blogs and forums on the web has attracted many research efforts on opinion mining. Recently, there was a growing interest in the finergrained ...
Qi Su, Xinying Xu, Honglei Guo, Zhili Guo, Xian Wu...
BMCBI
2006
181views more  BMCBI 2006»
13 years 9 months ago
Automatic pathway building in biological association networks
Background: Scientific literature is a source of the most reliable and comprehensive knowledge about molecular interaction networks. Formalization of this knowledge is necessary f...
Anton Yuryev, Zufar Mulyukov, Ekaterina Kotelnikov...
CICLING
2009
Springer
14 years 9 months ago
Estimating Risk of Picking a Sentence for Document Summarization
Abstract. Automatic Document summarization is proving to be an increasingly important task to overcome the information overload. The primary task of document summarization process ...
Chandan Kumar, Prasad Pingali, Vasudeva Varma
CICLING
2007
Springer
14 years 3 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