This paper introduces a class of statistical mechanisms, called hidden understanding models, for natural language processing. Much of the framework for hidden understanding models...
Scott Miller, Richard M. Schwartz, Robert J. Bobro...
This paper presents Delphi, the natural language component of the BBN Spoken Language System. Delphi is a domainindependent natural language question answering system that is soli...
Madeleine Bates, Robert J. Bobrow, Robert Ingria, ...
This paper describes eight telephone-speech corpora at various stages of development at the Center for Spoken Language Understanding. For each corpus, we describe data collection ...
Ronald Cole, Mike Noel, Daniel C. Burnett, Mark A....
To reduce the complexity of studying a parallel mechanism for natural language learning and understanding which supports both utterance and discourse processing, we propose a comp...
When implementing a tutoring system that attempts a deep understanding of students’ natural language explanations, there are three basic approaches to choose between; symbolic, i...