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Multi-Dimensional Summarization in Cyber-Physical Society /
Text summarization has been studied for over a half century, but traditional methods process texts empirically and neglect the fundamental characteristics and principles of language use and understanding. Automatic summarization is a desirable technique for processing big data. This reference summar...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam, Netherlands :
Elsevier,
©2016.
©2016 |
| Colección: | Computer science reviews and trends.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Front Cover; Multi-Dimensional Summarization in Cyber-Physical Society; Copyright Page; Dedication; Contents; About the Author; Foreword; Preface; Acknowledgment; 1 Introduction; 1.1 Open collaborative human summarization; 1.2 The necessity of automatic text summarization; 1.3 Practice in search engines; 1.4 Practice in e-science: summarizing multiple scientific papers through citation; 1.5 A multi-dimensional perspective of summarization literature; 1.6 Characteristics of text summarization; 1.7 Requirement from enterprise content computing and big data; 1.7.1 Enterprise content computing.
- 1.7.2 Big data1.8 Shifting paradigm; 2 The emerging structures; 2.1 Near decomposability; 2.2 Text as near decomposable system; 2.3 The near decomposability of memory; 2.4 The structure emerging through representing and understanding; 2.5 Principles for emerging sentences within text; 2.6 Rules for emerging structure within text; 2.7 Case study: summarizing text with emerging structure; 2.7.1 Iterative function; 2.7.2 Experiment; 2.7.3 Experiment result; 2.7.4 Discussion; 2.8 Emerging structure through dimensions; 2.9 Emerging from psychological dimension; 2.9.1 Assumptions of reading.
- 2.9.2 Interactive environment2.10 The cognitive level of current text summarization; 2.11 Semantic link; 2.11.1 Uncertainty on semantic link; 2.11.2 Bias on semantic link; 2.11.3 Separation of semantic link networks; 2.12 Summary; 3 Patterns in representation and understanding; 3.1 Patterns in text; 3.2 Pattern mappings; 3.3 Pattern-based summarization; 3.4 Incorporating locations into pattern; 3.5 From psychological dimension; 3.6 Implications; 4 The think lens; 4.1 The conceptual model; 4.2 The semantic images of words; 4.3 The principle of emerging semantic images.
- 5 Multi-dimensional methodology5.1 Dimension; 5.2 Category; 5.3 Dimension and space; 5.3.1 Basic concepts; 5.3.2 Interest space; 5.3.3 Applications; 5.4 Discovering dimensions; 5.4.1 Problem definition; 5.4.2 Category space; 5.4.3 Resource space; 5.4.4 Mutual-reference adaption; 5.4.5 Assumption; 5.4.6 Criteria; 5.4.7 Extending dimension; 5.4.8 Automatic construction; 5.4.9 Automatically uploading resources; 5.4.10 Discovering dimensions on the network of resources; 5.5 The space of methodologies; 5.6 Summary; 6 Characteristics and principles of understanding and representation.
- 6.1 The level of representation6.2 The core; 6.3 Characteristics, principles and strategies; 7 Implicit links in multi-dimensional space; 7.1 Implicit links; 7.2 Discovering implicit semantic links; 7.3 Observing from the psychological dimension; 7.4 Observing from the art dimension; 8 General citation; 8.1 A dual semantic link network; 8.2 Citation; 8.3 General citation; 8.4 Extension and intension; 8.5 Summarization as citation; 9 Dimensions of summary; 9.1 Dimension as computing; 9.2 The dimensions for structuring summary; 9.3 Summarization ondemand; 9.4 Forms.