Cross-document structural relationship identification using supervised machine learning

Applied Soft Computing Journal

Volumn 12, Issue 10, 2012, Pages 3124-3131

  Kumar, Yogan Jaya ^a,b   Salim, Naomie ^b   Raza, Basit ^c  

^a UNIVERSITI TEKNIKAL MALAYSIA MELAKA   (Malaysia)

^b UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

^c INTERNATIONAL ISLAMIC UNIVERSITY   (Pakistan)

Author keywords

Case based reasoning; Cross document structure theory (CST); Machine learning; Multi document; Neural network; Support vector machine

Indexed keywords

CBR; CROSS-DOCUMENT STRUCTURE THEORIES; MACHINE LEARNING TECHNIQUES; MODEL YIELDS; MULTI-DOCUMENT; MULTI-DOCUMENT SUMMARIZATION; NEWS ARTICLES; SPECIAL PROPERTIES; STRUCTURAL RELATIONSHIP; SUPERVISED MACHINE LEARNING;

LEARNING SYSTEMS; NEURAL NETWORKS;

SUPPORT VECTOR MACHINES;

EID: 84864771051     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2012.06.017     Document Type: Article

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