Natural Language Processing and Information Systems: 24th International Conference on Applications of Natural Language to Information Systems, NLDB 2019, Salford, UK, June 26–28, 2019, Proceedings: Lecture Notes in Computer Science, cartea 11608
Editat de Elisabeth Métais, Farid Meziane, Sunil Vadera, Vijayan Sugumaran, Mohamad Saraeeen Limba Engleză Paperback – 21 iun 2019
The 21 full papers and 16 short papers were carefully reviewed and selected from 75 submissions. The papers are organized in the following topical sections: argumentation mining and applications; deep learning, neural languages and NLP; social media and web analytics; question answering; corpus analysis; semantic web, open linked data, and ontologies; natural language in conceptual modeling; natural language and ubiquitous computing; and big data and business intelligence.
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (2) | 329.74 lei 43-57 zile | |
| Springer International Publishing – 17 iun 2016 | 329.74 lei 43-57 zile | |
| Springer International Publishing – 21 iun 2019 | 435.61 lei 43-57 zile |
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Specificații
ISBN-13: 9783030232801
ISBN-10: 3030232808
Pagini: 385
Ilustrații: XII, 418 p. 134 illus., 76 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.6 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Information Systems and Applications, incl. Internet/Web, and HCI
Locul publicării:Cham, Switzerland
ISBN-10: 3030232808
Pagini: 385
Ilustrații: XII, 418 p. 134 illus., 76 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.6 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Information Systems and Applications, incl. Internet/Web, and HCI
Locul publicării:Cham, Switzerland
Cuprins
Argumentation mining and applications.- Deep learning, Neural languages and NLP.- Social media and web analytics.- Question answering.- Corpus analysis.- Semantic web, open linked data, and ontologies.- Natural language in conceptual modeling.- Natural language and ubiquitous computing.- Big data and business intelligence.
Caracteristici
Includes supplementary material: sn.pub/extras