Computational Linguistics and Intelligent Text Processing -

Computational Linguistics and Intelligent Text Processing

20th International Conference, CICLing 2019, La Rochelle, France, April 7–13, 2019, Revised Selected Papers, Part I

Alexander Gelbukh (Herausgeber)

Buch | Softcover
XXI, 672 Seiten
2023 | 1st ed. 2023
Springer International Publishing (Verlag)
978-3-031-24336-3 (ISBN)
106,99 inkl. MwSt
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.

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

Erscheinungsdatum
Reihe/Serie Lecture Notes in Computer Science
Zusatzinfo XXI, 672 p. 180 illus., 108 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 1035 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Artificial Intelligence • Automata Theory • Computational Linguistics • Computer Science • Computer systems • Correlation Analysis • Databases • Data Mining • Engineering • information extraction • Information Retrieval • Internet • Lexical Semantics • Linguistics • machine learning • Mathematics • Natural Language Generation • Natural Language Processing • Natural Language Processing (NLP) • Natural Languages • Semantics • Signal Processing • Speech Recognition • theoretical computer science
ISBN-10 3-031-24336-6 / 3031243366
ISBN-13 978-3-031-24336-3 / 9783031243363
Zustand Neuware
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