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» Evaluating WordNet Features in Text Classification Models
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ICDAR
2007
IEEE
14 years 18 days ago
On the Use of Lexeme Features for Writer Verification
Document examiners use a variety of features to analyze a given handwritten document for writer verification. The challenge in the automatic classification of a pair of documents ...
A. Bhardwaj, A. Singh, Harish Srinivasan, Sargur N...
EMNLP
2007
13 years 10 months ago
Semi-Markov Models for Sequence Segmentation
In this paper, we study the problem of automatically segmenting written text into paragraphs. This is inherently a sequence labeling problem, however, previous approaches ignore t...
Qinfeng Shi, Yasemin Altun, Alex J. Smola, S. V. N...
CLEF
2010
Springer
13 years 9 months ago
Web Person Name Disambiguation by Relevance Weighting of Extended Feature Sets
Abstract. This paper describes our approach to the Person Name Disambiguation clustering task in the Third Web People Search Evaluation Campaign(WePS3). The method focuses on two a...
Chong Long, Lei Shi
CHI
2008
ACM
14 years 9 months ago
Evaluation of a role-based approach for customizing a complex development environment
Coarse-grained approaches to customization allow the user to enable or disable groups of features at once, rather than individual features. While this may reduce the complexity of...
Leah Findlater, Joanna McGrenere, David Modjeska
WEBI
2009
Springer
14 years 3 months ago
Learning Deep Web Crawling with Diverse Features
—The key to Deep Web crawling is to submit promising keywords to query form and retrieve Deep Web content efficiently. To select keywords, existing methods make a decision based ...
Lu Jiang, Zhaohui Wu, Qinghua Zheng, Jun Liu