Publications & Resources

Natural Language Sourcebook

Dec 1990

Walter Read, Michael Dyer, Eva Baker, Patricia Mutch, Frances Butler, Alex Quilici and John Reeves

The Natural Language Sourcebook was a research component in the development of the Artificial Intelligence Measurement System (AIMS). The Sourcebook is a compilation of 197 processing problems addressed or “handled” by intelligent computer systems. The problems, culled from the literature in artificial intelligence, computational linguistics, and cognitive psychology, have been classified into a scheme with an artificial intelligence bent and cross-referenced into a scheme with an artificial intelligence bent and cross-referenced to companion schemes one with a linguistic and one with a cognitive-psychological perspective on the types of issues reflected in the problems. Each entry in the Sourcebook, called an “exemplar,” consists of (1) one or more sentences, a fragment of dialogue or a piece of text which illustrates a conceptual issue, (2) a reference, and (3) a discussion of the problem a system might have in understanding the example.

Read, W., Dyer, M., Baker, E., Mutch, P., Butler, F., Quilici, A., & Reeves, J. (1990). Natural language sourcebook (CSE Report 340). Los Angeles: University of California, Los Angeles, National Center for Research on Evaluation, Standards, and Student Testing (CRESST).