An Efficient Boosting Algorithm for Combining Preferences
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Towards efficient statistical parsing using lexicalized grammatical information
Towards efficient statistical parsing using lexicalized grammatical information
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
Supertagging: an approach to almost parsing
Computational Linguistics
A maximum-entropy-inspired parser
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Generation that exploits corpus-based statistical knowledge
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
A framework for customizable generation of hypertext presentations
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Two-level, many-paths generation
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Exploiting a probabilistic hierarchical model for generation
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Word order acquisition from corpora
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
SPoT: a trainable sentence planner
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Statistical parsing with an automatically-extracted tree adjoining grammar
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Stochastic language generation for spoken dialogue systems
ANLP/NAACL-ConvSyst '00 Proceedings of the 2000 ANLP/NAACL Workshop on Conversational systems - Volume 3
Evaluation metrics for generation
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
Automated extraction of tags from the penn treebank
New developments in parsing technology
Generating and evaluating evaluative arguments
Artificial Intelligence
Automated extraction of Tree-Adjoining Grammars from treebanks
Natural Language Engineering
ACM Transactions on Speech and Language Processing (TSLP)
Generating and evaluating evaluative arguments
Artificial Intelligence
Discourse planning for information composition and delivery: A reusable platform
Natural Language Engineering
Tense and aspect assignment in narrative discourse
INLG '10 Proceedings of the 6th International Natural Language Generation Conference
Proceedings of the 17th Panhellenic Conference on Informatics
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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 there were an automatic method for creating natural language generation components that can produce quality output efficiently. We conduct experiments that show that this goal appears to be realizable. In particular we discuss a natural language generation system that is composed of SPoT, a trainable sentence planner, and FER-GUS, a stochastic surface, realizer. We show how these stochastic NLG components can be made to work together, that they can be ported to new domains with apparent ease, and that such NLG components can be integrated in a real-time dialog system.