Natural Language Processing and Information Systems [electronic resource] : 25th International Conference on Applications of Natural Language to Information Systems, NLDB 2020, Saarbrücken, Germany, June 24-26, 2020, Proceedings / edited by Elisabeth Métais, Farid Meziane, Helmut Horacek, Philipp Cimiano.
Contributor(s): Métais, Elisabeth [editor.] | Meziane, Farid [editor.] | Horacek, Helmut [editor.] | Cimiano, Philipp [editor.] | SpringerLink (Online service).
Material type: BookSeries: Information Systems and Applications, incl. Internet/Web, and HCI: 12089Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: XIII, 286 p. 85 illus., 36 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030513108.Subject(s): Natural language processing (Computer science) | Database management | Application software | Computers | Computer science | Natural Language Processing (NLP) | Database Management System | Computer and Information Systems Applications | Computing Milieux | Theory of ComputationAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.35 Online resources: Click here to access onlineSemantic Analysis -- Question Answering and Answer Generation -- Classification -- Sentiment Analysis -- Personality, Affect and Emotion -- Retrieval, Conversational Agents and Multimodal Analysis.
This book constitutes the refereed proceedings of the 25th International Conference on Applications of Natural Language to Information Systems, NLDB 2020, held in Saarbrücken, Germany, in June 2020.* The 15 full papers and 10 short papers were carefully reviewed and selected from 68 submissions. The papers are organized in the following topical sections: semantic analysis; question answering and answer generation; classification; sentiment analysis; personality, affect and emotion; retrieval, conversational agents and multimodal analysis. *The conference was held virtually due to the COVID-19 pandemic.
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