A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.

New York: North-Holland

San Francisco: Freeman

In Charniak and Wilks, 55-72.

Memo 288, AI Laboratory, Stanford University.

This paper describes a computer system for understanding English. The system answers questions, executes commands, and accepts information in an interactive English dialog. It is based on the belief that in modeling language understanding, we must deal in an integrated way with all of the aspects of language—syntax, semantics, and inference. The system contains a parser, a recognition grammar of English, programs for semantic analysis, and a general problem solving system. We assume that a computer cannot deal reasonably with language unless it can understand the subject it is discussing. Therefore, the program is given a detailed model of a particular domain.

Artificial Intelligence 8:241-274

Artificial Intelligence 7:21-49.

Among the largest university presses in the world, The MIT Press publishes over 200 new books each year along with 30 journals in the arts and humanities, economics, international affairs, history, political science, science and technology along with other disciplines. We were among the first university presses to offer titles electronically and we continue to adopt technologies that allow us to better support the scholarly mission and disseminate our content widely. The Press's enthusiasm for innovation is reflected in our continuing exploration of this frontier. Since the late 1960s, we have experimented with generation after generation of electronic publishing tools. Through our commitment to new products--whether digital journals or entirely new forms of communication--we have continued to look for the most efficient and effective means to serve our readership.

"The DENDRAL computer program uses established rules of molecular fragmentation to help chemists solve complex structural problems from mass spectral data. This paper describes a computer program called Meta-DENDRAL, that can aid in the discovery of such rules from empirical data on known components. The program uses heuristic methods to search for common structural environments around those bonds that are found to fragment and abstracts plausible fragmentation rules. The program has been tested on the well-characterized, low-resolution mass spectra of aliphatic amines and the high-resolution mass spectra of estrogenic steroids. The program has also discovered new fragmentation rules for mono-, di-, and triketoandrostanes."Journal of the American Chemical Society 98:6168-6178