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Computational Linguistics and Intelligent Text Processing

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Computational Linguistics and Intelligent Text Processing Synopsis

The two-volume set LNCS 9623 + 9624 constitutes revised selected papers from the CICLing 2016 conference which took place in Konya, Turkey, in April 2016. The total of 89 papers presented in the two volumes was carefully reviewed and selected from 298 submissions. The book also contains 4 invited papers and a memorial paper on Adam Kilgarriff’s Legacy to Computational Linguistics. The papers are organized in the following topical sections: Part I: In memoriam of Adam Kilgarriff; general formalisms; embeddings, language modeling, and sequence labeling; lexical resources and terminology extraction; morphology and part-of-speech tagging; syntax and chunking; named entity recognition; word sense disambiguation and anaphora resolution; semantics, discourse, and dialog. Part II: machine translation and multilingualism; sentiment analysis, opinion mining, subjectivity, and social media; text classification and categorization; information extraction; and applications. 

About This Edition

ISBN: 9783319754765
Publication date: 21st March 2018
Author: Alexander Gelbukh
Publisher: Springer International Publishing AG
Format: Paperback
Pagination: 678 pages
Series: Theoretical Computer Science and General Issues
Genres: Natural language and machine translation
Computational and corpus linguistics
Data mining
Expert systems / knowledge-based systems
Applied computing
Artificial intelligence