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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 13396 and 13397 constitutes revised selected papers from the CICLing 2018 conference which took place in Hanoi, Vietnam, in March 2018.The total of 68 papers presented in the two volumes was carefully reviewed and selected from 181 submissions. The focus of the conference was on following topics such as computational linguistics and intelligent text and speech processing and others. The papers are organized in the following topical sections: General, Author profiling and authorship attribution, social network analysis, Information retrieval, information extraction, Lexical resources, Machine translation, Morphology, syntax, Semantics and text similarity, Sentiment analysis, Syntax and parsing, Text categorization and clustering, Text generation, and Text mining.

About This Edition

ISBN: 9783031238031
Publication date:
Author: Alexander Gelbukh
Publisher: Springer International Publishing AG
Format: Paperback
Pagination: 457 pages
Series: Lecture Notes in Computer Science
Genres: Computational and corpus linguistics
Computer vision
Machine learning
Natural language and machine translation
Computer applications in the social and behavioural sciences
Databases

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