Using argumentation to control lexical choice: a functional unification implementation
Using argumentation to control lexical choice: a functional unification implementation
Building a large-scale knowledge base for machine translation
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Revision-based generation of natural language summaries providing historical background: corpus-based analysis, design, implementation and evaluation
Comlex Syntax: building a computational lexicon
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
Sentence reduction for automatic text summarization
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Cut and paste based text summarization
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Integrating a large-scale, reusable lexicon with a natural language generator
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
Elhisa: An architecture for the integration of heterogeneous lexical information
Natural Language Engineering
INLG '10 Proceedings of the 6th International Natural Language Generation Conference
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A lexicon is an essential component in a generation system but few efforts have been made to build a rich, large-scale lexicon and make it reusable for different generation applications. In this paper, we describe our work to build such a lexicon by combining multiple, heterogeneous linguistic resources which have been developed for other purposes. Novel transformation and integration of resources is required to reuse them for generation. We also applied the lexicon to the lexical choice and realization component of a practical generation application by using a multi-level feedback architecture. The integration of the lexicon and the architecture is able to effectively improve the system paraphrasing power, minimize the chance of grammatical errors, and simplify the development process substantially.