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Computational Linguistics and Intelligent Text Processing de Alexander Gelbukh

Computational Linguistics and Intelligent Text Processing: Lecture Notes in Computer Science, cartea 13451

Editat de Alexander Gelbukh
en Limba Engleză Paperback – 26 feb 2023
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.
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Specificații

ISBN-13: 9783031243363
ISBN-10: 3031243366
Pagini: 696
Ilustrații: XXI, 672 p. 180 illus., 108 illus. in color.
Dimensiuni: 155 x 235 x 38 mm
Greutate: 1.04 kg
Ediția:1st edition 2023
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

Artificial intelligence.- Natural language processing.- Information extraction.- Lexical semantics.- Natural language generation.- Language resources.- Phonology .- Morphology.- Discourse.- Dialogue and pragmatics.

Caracteristici

Up-to-date results in computational linguistics and intelligent text processing Fast-track conference proceedings State-of-the-art research

Textul de pe ultima copertă

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.