This paper presents a method for the automatic extraction of subgrammars to control and speeding-up natural language generation NLG. The method is based on explanation-based learn...
We describe our research on automatically generating rich semantic annotations of text and making it available on the Semantic Web. In particular, we discuss the challenges involv...
Akshay Java, Sergei Nirenburg, Marjorie McShane, T...
Although image understanding and natural language processing constitute two major areas of AI, they have mostly been studied independentlyof each other. Only a few attempts have b...
This paper describes two approaches to the automatic generation of behavioral VHDL models from descriptions written in natural language. Both approaches are based on a modeling st...
Walling R. Cyre, Jim Armstrong, M. Manek-Honcharik...
Natural Language Generation (NLG) is a way to automatically realize a correct expression in response to a communicative goal. This technology is mainly explored in the fields of m...