Building natural language generation systems = 自然语言生成系统的建造 /

导读
Preface
List of Figures
1Introduction
1.1 The Research Perspective
1.1.1 Differences between NL Generation and NL Understanding
1.1.2 Sharing Knowledge between Generation and Understanding
1.2 The Applications Perspective
1.2.1 Computer as Authoring Aid
1.2.2 Computer as Author
1.2.3 Uses of NLG Technology
1.3 Some Example NLG Systems
1.3.1 WEATHERREPORTER
1.3.2 FOG
1.3.3 IDAS
1. 3.4 MODELEXPLAINER
1.3.5 PEBA
1.3.6 STOP
1. 4 A Short History of NLG
1.5 The Structure of This Book
1.6 Further Reading
2 National Language Generation in Practice
2.1 Introduction
2.2 When Are NLG Techniques Appropriate？
2.2.1 Text versus Graphics
2.2.2 Natural Language Generation versus Mail Merge
2.2.3 Natural Language Generation versus Human Authoring
2.3 Using a Corpus to Determine User Requirements
2.3.1 Assembling an Initial Corpus of Output Texts
2.3.2 Analysing the Information Content of Corpus Texts
2.3.3 Creating a Target Text Corpus
2.4 Evaluating NLG Systems
2.5 Fielding NLG Systems
2.6 Further Reading
3The Architecture of a Natural Language Generation System
3.1 Introduction
3.2 The Inputs and Outputs of Natural Language Generation
3.2.1 Language as Goal-Driven Communication
3.2.2 The Inputs to Natural Language Generation
3.2.3 The Output of Natural Language Generation
3.3 An Informal Characterisation of the Architecture
3.3.1 An Overview of the Architecture
3.3.2 Content Determination
3.3.3 Document Structuring
3.3.4 Lexicalisation
3.3.5 Referring Expression Generation
3.3.6 Aggregation
3.3.7 Linguistic Realisation
3.3.8 Structure Realisation
3.4 The Architecture and Its Representations
3.4.1 Broad Structure and Terminology
3.4.2 Messages
3.4.3 The Document Planner
3.4.4 Document Plans
3.4.5 Microplanning
3.4.6 Text Specifications
3.4.7 Phrase Specifications
3.4.8 Surface Realisation
3.5 0ther Architectures
3.5.1 Different Representations and Modularisations
3.5.2 Different Architectures: Integrated Systems
3.6 Further Reading and Message Definition
4 Document Planning
4.1 Introduction
4.1.1 What Document Planning Is About
4.1.2 The Inputs and Outputs of Document Planning
4. 1.3 A WEATHERREPORTER Example
4.2 Representing Information in the Domain
4.2.1 What's in a Domain Model？
4.2.2 Domain Modelling for WEATHERREPORTER
4.2.3 Implementing Domain Models
4.2.4 Defining Messages
4.2.5 Determining the Degree of Abstraction in Messages
4.2.6 A Methodology for Domain Modelling
4.3 Content Determination
4.3.1 Aspects of Content Determination
4.3.2 Deriving Content Determination Rules
4.3.3 Implementing Content Determination
4.4 Document Structuring
4.4. 1 Discourse Relations
4.4.2 Implementation. Schemas
4.4.3 Implementation: Bottom-up Techniques
4.4.4 A Comparison of Approaches
4.4.5 Knowledge Acquisition
4.5 Document Planner Architecture
4.6 Further Reading

5Microplanning
5.1 Introduction
5.1.1 Why Do We Need Microplanning？
5.1.2 What's Involved in Microplanning？
5. 1.3 The Inputs and Outputs of Microplanning ...
5.1.4 The Architecture of a Microplanner
5.2 Lexicalisation
5.2. 1 Simple Lexicalisation
5.2.2 Simple Lexical Choice
5.2.3 Contextual and Pragmatic Influences
on Lexical Choice
5.2.4 Expressing Discourse Relations
5.2.5 Fine-Grained Lexicalisation
5.3 Aggregation
5.3.1 Mechanisms for Sentence Formation
5.3.2 Choosing between Possible Aggregations ...
6 Surface Realisation
7 Beyond Text Generation
Appendix:NLG Systems Mentioned in This Book
References
Index