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Record Nr. |
UNISA996466321303316 |
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Titolo |
Natural Language Processing and Information Systems [[electronic resource] ] : 24th International Conference on Applications of Natural Language to Information Systems, NLDB 2019, Salford, UK, June 26–28, 2019, Proceedings / / edited by Elisabeth Métais, Farid Meziane, Sunil Vadera, Vijayan Sugumaran, Mohamad Saraee |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (XII, 418 p. 134 illus., 76 illus. in color.) |
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Collana |
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Information Systems and Applications, incl. Internet/Web, and HCI ; ; 11608 |
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Disciplina |
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Soggetti |
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Natural language processing (Computer science) |
Database management |
Data mining |
Computers |
Application software |
Natural Language Processing (NLP) |
Database Management |
Data Mining and Knowledge Discovery |
Theory of Computation |
Information Systems Applications (incl. Internet) |
Computer Applications |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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This book constitutes the refereed proceedings of the 24th International Conference on Applications of Natural Language to |
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Information Systems, NLDB 2019, held in Salford, UK, in June 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. |
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