Charniak, E.
Statistical Language Learning
Charniak, E.
MIT Press. See also: Review of "Statistical language learning" by Eugene Charniak (http://europepmc.org/abstract/CIT/136037).
A Bayesian model of plan recognition
Charniak, E. | Goldman, R.
Artificial Intelligence, 64 (1), 53-79
Inference and knowledge in language comprehension.
Charniak, E.
In E. W. Elcock and D. Michie (Eds.), Machine intelligence 8. New York: Wiley.
Computational semantics: An introduction to artificial intelligence and natural language comprehension
Charniak, E., Wilks, Y.
Amsterdam: North-Holland
Toward a model of children's story comprehension
Charniak, E.
This report considers the problem of constructing an abstract model of story comprehension. The use of questions that go beyond the story as a test of understanding the story raises a methodological problem which is discussed in detail.
COMPUTER SOLUTION OF CALCULUS WORD PROBLEMS
Charniak, E.
A program was writte n to solve calculus word problems. The program, CARPS (CAlculus Rate Problem Solver), is restricte d to rate problems. The overall plan of the program is simila r to Bobrow's STUDENT, the primary difference being the introductio n of "structures " as the internal model in CARPS. Structures are stored internally as trees, each structure holding the information gathered about one object.In Walker, D. E. & Norton, L. N. (eds. ), IJCAI 1969: INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, May 7-9, 1969 Washington, D. C., pp. 241-252