Year: 1998
Type: conference-paper
Abstract: We describe novel aspects of a new natural language generator called Nitrogen.This generator has a highly flexible input representation that allows a spectrum of input from syntactic to semantic depth, and shifts' the burden of many linguistic decisions to the statistical post-processor.The generation algorithm is compositional, making it efficient, yet it also handles non-compositional aspects of language.Nitrogen's design makes it robust and scalable, operating with lexicons and knowledge bases of one hundred thousand entities.
Authors: Irene Langkilde, Kevin Knight
Institution: University of Southern California
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W2108239140