Natural Language Processing.
| 主要作者: | |
|---|---|
| 格式: | Licensed eBooks |
| 语言: | 英语 |
| 出版: |
Ashland :
Arcler Press,
2020.
|
| 在线阅读: | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2725248 |
书本目录:
- Cover
- Copyright
- DECLARATION
- ABOUT THE EDITOR
- TABLE OF CONTENTS
- List of Contributors
- List of Abbreviations
- Preface
- Section 1 Natural Language Processing in IT and web systems
- Chapter 1 Semantic Analysis of Natural Language Queries for an Object Oriented Database
- Abstract
- Introduction
- Natural Language Database
- Query Semantic Validation
- Example Of Query's Validation
- Experimental Results
- Conclusions
- References
- Chapter 2 Communication Mediated through Natural Language Generation in Big Data Environments: The Case of Nomao
- Abstract
- Introduction
- Research issues
- Theoretical and methodological framework
- Data, equipment and method
- Results
- Conclusions
- References
- Chapter 3 Web Semantic and Ontology
- Abstract
- What Do We Represent In An Ontology?
- The Web Ontology Language Owl
- Ontology Language Processors
- Conclusion
- References
- Chapter 4 Towards Understanding Creative Language in Tweets
- Abstract
- Introduction
- Task Description
- Model Description
- Experiments and Results
- Results Analysis
- Conclusions
- Conflicts Of Interest
- References
- Section 2 Natural Language Processing in IT and Web Systems
- Chapter 5 Resolving Topic-Focus Ambiguities in Natural Language
- Introduction
- Russell vs. Strawson On Definite Descriptions
- Foundations of Til
- Definite Descriptions: Strawsonian Or Russellian?
- Topic-Focus Ambivalence In General
- Conclusion
- Acknowledgments
- References
- Chapter 6 Semantic Interoperability in E-Health for Improved Healthcare
- Introduction
- Semantic Electronic Medical Record (SEMR) System as SAAS Service Model
- Conclusion
- Acknowledgments
- References
- Chapter 7 CCMF, Computational Context Modeling Framework
- An Ontological Approach to Develop Context-Aware Web Applications
- Introduction
- Related Works
- Case Studies
- Conclusion and Future Work
- References
- Chapter 8 Three Types of Episodic Associations for the Semantic/ Syntactic/Episodic Model of Language Prospective in Applications to the Statistical Translation
- Abstract
- Introduction
- The Brief Semantic/Syntactic/Episodic Model Of Language
- Three Principles For Machine Translation Derived From The Semantic/Syntactic/Episodic Neurolinguistics
- Behavioral Classification Of Living/Natural Words
- Sentential/Paragraphic Categorization
- Collection Of Frequent Word-Pairs
- Word Episodic Symbolization For Computer Applications
- Discussions
- Conclusion
- Highlights
- Conflict Of Interest
- Acknowledgments
- References
- Section 3 Mathematical Algorithms and Natural Language
- Chapter 9 Language and Mathematics: Bridging between Natural Language and Mathematical Language in Solving Problems in Mathematics
- Abstract
- Natural Language And Mathematical Language
- Differences Between Natural Language And Mathematical Language