A Conceptual Theory of Question Answering
Proceedings of the Fifth International Joint Conference on Artificial Intelligence. Natural Language. Pages 158-163.
Abstract
A theory of Q/A has been proposed from the perspective of natural language processing that relies on ideas in conceptual information processing and theories of human memory organization. This theory of Q/A has been implemented in a computer program, QUALM. QUALM is currently used by two story understanding systems (SAM and PAM) to complete a natural language processing system that reads stories and answers questions about what was read. Keywords: natural language processing, computational question answering, conceptual information
@inproceedings{ijcai1977p33,
title = {A Conceptual Theory of Question Answering},
author = {Lehnert, Wendy G.},
booktitle = {Proceedings of the Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-77}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Raj Reddy},
pages = {158--163},
year = {1977},
note = {Natural Language},
url = {https://ijcai.org/proceedings/1977/33},
}
TY - CPAPER TI - A Conceptual Theory of Question Answering AU - Lehnert, Wendy G. T2 - Proceedings of the Fifth International Joint Conference on Artificial Intelligence, IJCAI-77 PB - International Joint Conferences on Artificial Intelligence PY - 1977 SP - 158 EP - 163 UR - https://ijcai.org/proceedings/1977/33 ER -Copied
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