Interest in statistical natural language generation is rapidly increasing. This work sheds important light from theoretical linguistics on the type of information crucial to statistical NLG algorithms.
Interest in statistical natural language generation is rapidly increasing. This work sheds important light from theoretical linguistics on the type of information crucial to statistical NLG algorithms.
Cassandre Creswell earned her B.A. in linguistics at the University of Illinois at Urbana-Champaign. She has a M.S.E. in computer and information science and a Ph.D. in linguistics from the University of Pennsylvania. She currently resides in Toronto, Canada.
Inhaltsangabe
Acknowledgements Tables Figures Chapter 1: Introduction Chapter 2: Background: Previous Work and Relevant Theory Chapter 3: A Goal-Based Model of Syntactic Choice Chapter 4: An Empirical Study of Discourse Structure and Non-Canonical Word Order Chapter 5: Conclusions and Future Directions Bibliography Index
Acknowledgements Tables Figures Chapter 1: Introduction Chapter 2: Background: Previous Work and Relevant Theory Chapter 3: A Goal-Based Model of Syntactic Choice Chapter 4: An Empirical Study of Discourse Structure and Non-Canonical Word Order Chapter 5: Conclusions and Future Directions Bibliography Index
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