Computational Linguistics and Intelligent Text Processing
19th International Conference, CICLing 2018, Hanoi, Vietnam, March 18-24, 2018, Revised Selected Papers, Part I
Published on 25. February 2023
XVIII, 431 pages
978-3-031-23793-5 (ISBN)
Description
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.
More details
Series
Edition
1st ed. 2023
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Product notice
Reflowable
Illustrations
XVIII, 431 p. 241 illus., 72 illus. in color.
File size
33,88 MB
ISBN-13
978-3-031-23793-5 (9783031237935)
DOI
10.1007/978-3-031-23793-5
Schweitzer Classification
Other editions
Additional editions
Alexander Gelbukh
Computational Linguistics and Intelligent Text Processing
19th International Conference, CICLing 2018, Hanoi, Vietnam, March 18-24, 2018, Revised Selected Papers, Part I
Book
02/2023
Springer
€85.59
Shipment within 15-20 days
Content
Author profiling and authorship attribution, social network analysis.- Information retrieval, information extraction.- Lexical resources.- Best Paper Award, Third Place.- Machine translation.- Morphology, Syntax.- Best Paper Award, Second Place.- Semantics and text similarity.- Sentiment analysis.- Syntax and parsing.- Text categorization and clustering.- Best Paper Award, First Place.- Text generation.- Text mining.
