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Titlebook: Natural Language Processing and Information Systems; 24th International C Elisabeth Métais,Farid Meziane,Mohamad Saraee Conference proceedi

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书目名称Natural Language Processing and Information Systems
副标题24th International C
编辑Elisabeth Métais,Farid Meziane,Mohamad Saraee
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Natural Language Processing and Information Systems; 24th International C Elisabeth Métais,Farid Meziane,Mohamad Saraee Conference proceedi
描述.This book constitutes the refereed proceedings of the 24th International Conference on Applications of Natural Language to 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..
出版日期Conference proceedings 2019
关键词artificial intelligence; classification; computational linguistics; data mining; Natural Language Proces
版次1
doihttps://doi.org/10.1007/978-3-030-23281-8
isbn_softcover978-3-030-23280-1
isbn_ebook978-3-030-23281-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

书目名称Natural Language Processing and Information Systems影响因子(影响力)




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书目名称Natural Language Processing and Information Systems网络公开度学科排名




书目名称Natural Language Processing and Information Systems被引频次




书目名称Natural Language Processing and Information Systems被引频次学科排名




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书目名称Natural Language Processing and Information Systems年度引用学科排名




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书目名称Natural Language Processing and Information Systems读者反馈学科排名




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Estimating the Believability of Uncertain Data Inputs in Applications for Alzheimer’s Disease Patienability of its authors. This estimation is based on Bayesian networks and Mamdani fuzzy inference systems. We illustrate the usefulness of our approach in the context of the Captain Memo memory prosthesis. Finally, we discuss the encouraging results de-rived from the evaluation of our approach.
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Conference proceedings 20192019, 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
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Model Answer Generation for Word-Type Questions in Elementary Mathematics addition and subtraction problems. Currently, questions with one unknown variable are considered. In addition to the existing data sets, a new data set is created for the training and the evaluation purpose. Our results outperform the existing statistical approaches.
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