Utvidet returrett til 31. januar 2025

Computational Linguistics and Intelligent Text Processing

Om Computational Linguistics and Intelligent Text Processing

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.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9783031237928
  • Bindende:
  • Paperback
  • Sider:
  • 452
  • Utgitt:
  • 26. februar 2023
  • Utgave:
  • 23001
  • Dimensjoner:
  • 155x25x235 mm.
  • Vekt:
  • 680 g.
  • BLACK NOVEMBER
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 21. desember 2024
Utvidet returrett til 31. januar 2025

Beskrivelse av Computational Linguistics and Intelligent Text Processing

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.

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