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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 13451 and 13452 constitutes revised selected papers from the CICLing 2019 conference which took place in La Rochelle, France, April 2019.The total of 95 papers presented in the two volumes was carefully reviewed and selected from 335 submissions. The book also contains 3 invited papers. The papers are organized in the following topical sections: General, Information extraction, Information retrieval, Language modeling, Lexical resources, Machine translation, Morphology, sintax, parsing, Name entity recognition, Semantics and text similarity, Sentiment analysis, Speech processing, Text categorization, Text generation, and Text mining.

About This Edition

ISBN: 9783031243363
Publication date:
Author: Alexander Gelbukh
Publisher: Springer International Publishing AG
Format: Paperback
Pagination: 672 pages
Series: Lecture Notes in Computer Science
Genres: Natural language and machine translation
Mathematical theory of computation
Machine learning
Databases
Data mining
Expert systems / knowledge-based systems
Information retrieval
Data warehousing

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