A Student-Oriented Natural Language Environment For Learning LISP
Proceedings of the Fourth International Joint Conference on Artificial Intelligence. Natural Language Understanding. Pages 391-395.
Abstract
A computer-based instructional environment for students learning LISP is described. Its design includes a LISP interpreter with an extended error-handling capability for evaluating functions written by students. Students can ask questions in natural language about LISP in general and concerning specific LISP functions which they have defined. A fuzzy parser interprets the student requests .and builds a LISP function which operates on a semantic network to determine its response.
R. Hart, and Elliot B. Koffman. 1975. A Student-Oriented Natural Language Environment For Learning LISP. In Proceedings of the Fourth International Joint Conference on Artificial Intelligence, IJCAI-75. IJCAI, 391–395. https://ijcai.org/proceedings/1975/62
Hart, R., & Koffman, E. B. (1975). A Student-Oriented Natural Language Environment For Learning LISP. In Proceedings of the Fourth International Joint Conference on Artificial Intelligence, IJCAI-75 (pp. 391–395). IJCAI. https://ijcai.org/proceedings/1975/62
@inproceedings{ijcai1975p62,
title = {A Student-Oriented Natural Language Environment For Learning LISP},
author = {Hart, R. and Koffman, Elliot B.},
booktitle = {Proceedings of the Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-75}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Patrick Winston and Carl Hewitt},
pages = {391--395},
year = {1975},
note = {Natural Language Understanding},
url = {https://ijcai.org/proceedings/1975/62},
}
TY - CPAPER TI - A Student-Oriented Natural Language Environment For Learning LISP AU - Hart, R. AU - Koffman, Elliot B. T2 - Proceedings of the Fourth International Joint Conference on Artificial Intelligence, IJCAI-75 PB - International Joint Conferences on Artificial Intelligence PY - 1975 SP - 391 EP - 395 UR - https://ijcai.org/proceedings/1975/62 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: