Systemic Text Generation as Problem Solving
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Part of Studies in Natural Language Processing
- Author: Terry Patten
- Date Published: March 2011
- availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
- format: Adobe eBook Reader
- isbn: 9780511873874
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An exploration of a new approach to text generation that interprets systemic grammar as a computational representation. Patten demonstrates that systemic grammar can be easily and automatically translated into current AI-knowledge representations and efficiently processed by the same knowledge-based techniques currently exploited by expert systems. Thus, the fundamental methodological problem of interfacing specialized computational representations with equally specialized linguisticrepresentations can be resolved. The study provides a detailed discussion of the formal model proposed and of a substantial implementation including a relatively large systemic grammar. It represents a fundamental and productive contribution to the literature of text generation.
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- Date Published: March 2011
- format: Adobe eBook Reader
- isbn: 9780511873874
- availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
Table of Contents
Preface
1. Introduction
2. Background I: AI problem solving
3. Background II: systemic grammar
4. The conflation
5. The formal model
6. The implementation
7. Related work in text generation
8. Conclusions
Appendix A: OPS5 tutorial
Appendix B: sample texts
Appendix C: excerpts from the grammar
Notes
Bibliography
Index.
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