Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11089)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: AIMSA 2018.
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Table of contents (29 papers)
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Natural Language Processing
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Machine Learning and Data Mining Applications
Other volumes
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Artificial Intelligence: Methodology, Systems, and Applications
Keywords
- Artificial Intelligence
- Natural Language Processing
- Deep Learning
- Machine Learning
- Data Mining
- Knowledge Representation
- Semantics
- Reasoning
- Search
- Natural language processing systems
- Data mining
- world wide web
- support vector machines
- neural networks
- semantic web
- text processing
- decision trees
- semantic information
About this book
The 22 revised full papers and 7 poster papers presented were carefully reviewed and selected from 72 submissions. They cover a wide range of topics in AI: from machine learning to natural language systems, from information extraction to text mining, from knowledge representation to soft computing; from theoretical issues to real-world applications.
Editors and Affiliations
Bibliographic Information
Book Title: Artificial Intelligence: Methodology, Systems, and Applications
Book Subtitle: 18th International Conference, AIMSA 2018, Varna, Bulgaria, September 12–14, 2018, Proceedings
Editors: Gennady Agre, Josef van Genabith, Thierry Declerck
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-99344-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2018
Softcover ISBN: 978-3-319-99343-0Published: 29 August 2018
eBook ISBN: 978-3-319-99344-7Published: 28 August 2018
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 292
Number of Illustrations: 60 b/w illustrations
Topics: Artificial Intelligence, Natural Language Processing (NLP), Natural Language Processing (NLP), Data Mining and Knowledge Discovery
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