TULIPS - Teachable, Understanding Natural Language Input Problem-Solver
Proceedings of the Fourth International Joint Conference on Artificial Intelligence. Natural Language Understanding. Pages 397-399.
Abstract
This paper describes the principal features of TULIPS program designed as a widely-oriented AI system that accepts natural language (NL) input. NL processor of TULIPS is guided by information represented in models of current "external world" domain and of current user and utilizes deductive and inductive mechanisms. These features allow the program: to discover the most relevant interpretation of an input, to extract the descriptions of user's goals from NL utterances, and to generate the so-called T-£roblems ( T for TULIPS). Having solved t em TULIPS not only answers user's request but also learns new knowledge on its environment and improves its own mechanisms.
@inproceedings{ijcai1975p63,
title = {TULIPS - Teachable, Understanding Natural Language Input Problem-Solver},
author = {Malkovsky, Michael G.},
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 = {397--399},
year = {1975},
note = {Natural Language Understanding},
url = {https://ijcai.org/proceedings/1975/63},
}
TY - CPAPER TI - TULIPS - Teachable, Understanding Natural Language Input Problem-Solver AU - Malkovsky, Michael G. T2 - Proceedings of the Fourth International Joint Conference on Artificial Intelligence, IJCAI-75 PB - International Joint Conferences on Artificial Intelligence PY - 1975 SP - 397 EP - 399 UR - https://ijcai.org/proceedings/1975/63 ER -Copied
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