Hierarchical Concepts Structure for Natural Language Understanding System
Proceedings of the Sixth International Joint Conference on Artificial Intelligence. .
Abstract
Hierarchical concepts structure is introduced to widen acceptability of input seficences of natural language understanding system. It consists of a set of defined concepts (SDC) and scenarios each of which is a set of scenario elements. A scenario is one utilized everywhere. In our SDC concepts are defined with another concepts related through basic semantic relations. Types of these relations are presented with some examplP.s. As compound semantic relations are composed of basic ones it is enough to construct SDC with only basic semantic relations.
@inproceedings{ijcai1979p219,
title = {Hierarchical Concepts Structure for Natural Language Understanding System},
author = {Yoshida, Sho},
booktitle = {Proceedings of the Sixth International Joint Conference on
Artificial Intelligence, {IJCAI-79}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Bruce G. Buchanan},
year = {1979},
month = {8},
url = {https://ijcai.org/proceedings/1979/219},
}
TY - CPAPER TI - Hierarchical Concepts Structure for Natural Language Understanding System AU - Yoshida, Sho T2 - Proceedings of the Sixth International Joint Conference on Artificial Intelligence, IJCAI-79 PB - International Joint Conferences on Artificial Intelligence PY - 1979 UR - https://ijcai.org/proceedings/1979/219 ER -Copied
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