Natural language generation for text-to-text applications using an information-slim representation

Authors:
Radu Soricut
Affiliations:
Information Sciences Institute, University of Southern California, Marina del Rey, CA
Venue:
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 4
Year:
2005

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Abstract

I propose a representation formalism and algorithms to be used in a new language generation mechanism for text-to-text applications. The generation process is driven by both text-specific information encoded via probability distributions over words and phrases derived from the input text, and general language knowledge captured by n-gram and syntactic language models.