Multi-document Summarization Exploiting Semantic Analysis Based on Tag Cluster

J. Heu; Jin-Woo Jeong; Iqbal Qasim; Young-Do Joo; Joonmyun Cho; Dong‐Ho Lee

doi:10.1007/978-3-642-35728-2_46

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Multi-document Summarization Exploiting Semantic Analysis Based on Tag Cluster

J. Heu Jin-Woo Jeong Iqbal Qasim Young-Do Joo Joonmyun Cho Dong‐Ho Lee

Year: 2013 Lecture notes in computer science Pages: 479-489 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-35728-2_46

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Keywords:

Automatic summarization Computer science Information retrieval Multi-document summarization Folksonomy Word (group theory) Set (abstract data type) Key (lock) Natural language processing Semantics (computer science) Artificial intelligence Noun Thesaurus Linguistics

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Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Natural Language Processing Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Text Analysis Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Multi-document Summarization Exploiting Semantic Analysis Based on Tag Cluster

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Citation History

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