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» Trainable Methods for Surface Natural Language Generation
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ANLP
2000
97views more  ANLP 2000»
14 years 6 days ago
Trainable Methods for Surface Natural Language Generation
We present three systems for surface natural language generation that are trainable from annotated corpora. The first two systems, called NLG1 and NLG2, require a corpus marked on...
Adwait Ratnaparkhi
COLING
2002
13 years 10 months ago
Towards Automatic Generation of Natural Language Generation Systems
Systems that interact with the user via natural language are in their infancy. As these systems mature and become more complex, it would be desirable for a system developer if the...
John Chen, Srinivas Bangalore, Owen Rambow, Marily...
ACL
2008
14 years 9 days ago
Trainable Generation of Big-Five Personality Styles through Data-Driven Parameter Estimation
Previous work on statistical language generation has primarily focused on grammaticality and naturalness, scoring generation possibilities according to a language model or user fe...
François Mairesse, Marilyn A. Walker
ACL
2001
14 years 7 days ago
Evaluating a Trainable Sentence Planner for a Spoken Dialogue System
Techniques for automatically training modules of a natural language generator have recently been proposed, but a fundamental concern is whether the quality of utterances produced ...
Owen Rambow, Monica Rogati, Marilyn A. Walker
ICDAR
2005
IEEE
14 years 4 months ago
Distinguishing Mathematics Notation from English Text using Computational Geometry
A trainable method for distinguishing between mathematics notation and natural language (here, English) in images of textlines, using computational geometry methods only with no a...
Derek M. Drake, Henry S. Baird