Cantitate/Preț
Produs
Total produse
Vezi coșul
Expressibility and the Problem of Efficient Text Planning de Marie Meteer

Expressibility and the Problem of Efficient Text Planning: Linguistics: Bloomsbury Academic Collections

Autor Marie Meteer
en Limba Engleză Hardback – 17 dec 2015
A central problem of natural language generation is that of 'expressibility'. Meteer presents a solution which uses a level of representation called the Text Structure, an intermediate between the representation of world and the language.
Citește tot Restrânge

Din seria Linguistics: Bloomsbury Academic Collections

Preț: 85266 lei

Preț vechi: 129444 lei
-34%

Puncte Express: 1279
Preț estimativ în valută:
15093€ • 17608$ • 13069£

Carte tipărită la comandă

Livrare economică 26 februarie-12 martie

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781474246569
ISBN-10: 1474246567
Pagini: 208
Dimensiuni: 156 x 234 x 13 mm
Greutate: 0.45 kg
Editura: Bloomsbury Publishing
Colecția Bloomsbury Academic
Seria Linguistics: Bloomsbury Academic Collections

Locul publicării:London, United Kingdom

Cuprins

Foreword David McDonald

1 The 'Generation Gap'
1.1 Overview
1.2 Defining the problem
1.3 Text Structure: An Intermediate Level of Representation for Text Planning

2 Terminology and Issues
2.1 The Generation Process
2.2 Issues

3 Motivations From Language and Applications
3.1 Analysis of Revisions
3.2 Motivations from Application
3.3 Summary

4 The Text Structure
4.1 Linguistic Resources
4.2 Determining the Vocabulary of Text Structure
4.3 The Text Structure Representation

5 The Architecture of Spokesman
5.1 Overview of Spokesman
5.2 Building the Text Structure
5.3 Building the Linguistic Specifications
5.4 Control of the Text Planner

6 Text Structure in Action
6.1 Incremental Text Generation from the 'Main Street' Simulation
6.2 Text Structure and Portability

7 Alternative Architectures
7.1 Traditional Two-Component Systems
7.2 Non-Traditional Architectures
7.3 Summary

8 Conclusion
8.1 Methodology
8.2 Summary of the Contributors
8.3 What Does This Work Have to Say to AI in General?
8.4 Future Excitements

Bibliography
Index