Computational Linguistics and Intelligent Text Processing

Alexander Gelbukh

ISBN 10: 3642286003 / ISBN 13: 9783642286001

Published by Berlin Springer Berlin Heidelberg Springer Feb 2012, 2012

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -This two-volume set, consisting of LNCS 7181 and LNCS 7182, constitutes the thoroughly refereed proceedings of the 13th International Conference on Computer Linguistics and Intelligent Processing, held in New Delhi, India, in March 2012.The total of 92 full papers were carefully reviewed and selected for inclusion in the proceedings. The contents have been ordered according to the following topical sections: NLP system architecture; lexical resources; morphology and syntax; word sense disambiguation and named entity recognition; semantics and discourse; sentiment analysis, opinion mining, and emotions; natural language generation; machine translation and multilingualism; text categorization and clustering; information extraction and text mining; information retrieval and question answering; document summarization; and applications. 517 pp. Englisch.

Seller Inventory # 9783642286001

Bibliographic Details

• Title: Computational Linguistics and Intelligent Text Processing
• Publisher: Berlin Springer Berlin Heidelberg Springer Feb 2012
• Publication Date: 2012
• Language: English
• ISBN 10: 3642286003
• ISBN 13: 9783642286001
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

This two-volume set, consisting of LNCS 7181 and LNCS 7182, constitutes the thoroughly refereed proceedings of the 13th International Conference on Computer Linguistics and Intelligent Processing, held in New Delhi, India, in March 2012. The total of 92 full papers were carefully reviewed and selected for inclusion in the proceedings. The contents have been ordered according to the following topical sections: NLP system architecture; lexical resources; morphology and syntax; word sense disambiguation and named entity recognition; semantics and discourse; sentiment analysis, opinion mining, and emotions; natural language generation; machine translation and multilingualism; text categorization and clustering; information extraction and text mining; information retrieval and question answering; document summarization; and applications.