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    COLING
    2010
    99views Computational Linguistics» more  COLING 2010»
    Grouping Product Features Using Semi-Supervised Learning with Soft-Constraints
    13 years 2 months ago
    Grouping Product Features Using Semi-Supervised Learning with Soft-Constraints
    Download  www.cs.uic.edu
    In opinion mining of product reviews, one often wants to produce a summary of opinions based on product features/attributes. However, for the same feature, people can express it w...
    Zhongwu Zhai, Bing Liu, Hua Xu, Peifa Jia
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    JMLR
    2010
    153views more  JMLR 2010»
    Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data
    13 years 2 months ago
    Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data
    Download  jmlr.csail.mit.edu
    In this paper, we present an overview of generalized expectation criteria (GE), a simple, robust, scalable method for semi-supervised training using weakly-labeled data. GE fits m...
    Gideon S. Mann, Andrew McCallum
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    JMLR
    2010
    119views more  JMLR 2010»
    Semi-Supervised Learning via Generalized Maximum Entropy
    13 years 2 months ago
    Semi-Supervised Learning via Generalized Maximum Entropy
    Download  jmlr.csail.mit.edu
    Various supervised inference methods can be analyzed as convex duals of the generalized maximum entropy (MaxEnt) framework. Generalized MaxEnt aims to find a distribution that max...
    Ayse Erkan, Yasemin Altun
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    AAAI
    2007
    140views Intelligent Agents» more  AAAI 2007»
    Semi-Supervised Learning by Mixed Label Propagation
    13 years 10 months ago
    Semi-Supervised Learning by Mixed Label Propagation
    Download  www.cse.msu.edu
    Recent studies have shown that graph-based approaches are effective for semi-supervised learning. The key idea behind many graph-based approaches is to enforce the consistency bet...
    Wei Tong, Rong Jin
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    WEBI
    2007
    Springer
    88views Internet Technology» more  WEBI 2007»
    Customizable Instance-Driven Webpage Filtering Based on Semi-Supervised Learning
    14 years 1 months ago
    Customizable Instance-Driven Webpage Filtering Based on Semi-Supervised Learning
    Download  www.nlpr.ia.ac.cn
    Mingliang Zhu, Weiming Hu, Xi Li, Ou Wu
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