Variable-Depth Natural Language Understanding
Proceedings of the Seventh International Joint Conference on Artificial Intelligence. Natural Language. Pages 64-65.
Abstract
S tandard A I repr e s e ntations of knowl e dge oper ate a t fixed depth (i.e. th e ob je c ts manipulat ed are des c ribed by an amount of information whi c h r emains constant for every task). Contrary to thi s approach, Variable Depth Pro ce ssing (VDP) us es a progressive des c ription of objects, tries different strategies according to the quality of the re s ult it needs, a nd continually controls this quality by means of an evaluation of th e approximati ons it makes. -- --Contextual Production Rules are shown t o be effect iv e way to implement some features of VDP. We are currently developing a VDP questionanswering sys tem which works on texts c on ce rnin g a no n-technical subje ct , namel y an e x ce rpt of a genera l public - oriented encyclopaedia.
@inproceedings{ijcai1981p15,
title = {Variable-Depth Natural Language Understanding},
author = {Kayser, Daniel and Coulon, Daniel},
booktitle = {Proceedings of the Seventh International Joint Conference on
Artificial Intelligence, {IJCAI-81}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Roger C. Schank},
pages = {64--65},
year = {1981},
month = {8},
note = {Natural Language},
url = {https://ijcai.org/proceedings/1981/15},
}
TY - CPAPER TI - Variable-Depth Natural Language Understanding AU - Kayser, Daniel AU - Coulon, Daniel T2 - Proceedings of the Seventh International Joint Conference on Artificial Intelligence, IJCAI-81 PB - International Joint Conferences on Artificial Intelligence PY - 1981 SP - 64 EP - 65 UR - https://ijcai.org/proceedings/1981/15 ER -Copied
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