Multi-Strategy Construction-Specific Parsing for Flexible Data Base Query and Update
Proceedings of the Seventh International Joint Conference on Artificial Intelligence. Natural Language Applications. Pages 432-438.
Abstract
The advantages of a multi -strategy, construction -specific approach to parsing in appli ed natural language processing are explained through an examination of two pilot parsers we have constructed . Our approach exploits domain semantics and prior knowledge of expected constructions, using multiple parsing strategies each optimized to recognize different construction types. It is shown that a multi -strategy approach leads to robust , flexible . and efficient parsing of both grammatical and ungrammatical input in limited -domain , task -oriented. natural language interfaces. We also describe plans to construct a single, practical , multi -strategy parsing system that combines the best aspects of the two simpler parsers already implemented into a more complex. embedded-constituent control structure. Finally, we discuss some issues in data base access and update, and show that a construction -specific approach, coupled with a casestructured data base descr iption , offers a promising approach to a unified . interactive data base query and update system.
@inproceedings{ijcai1981p84,
title = {Multi-Strategy Construction-Specific Parsing for Flexible Data Base Query and Update},
author = {Hayes, Philip J. and Carbonell, Jaime G.},
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 = {432--438},
year = {1981},
month = {8},
note = {Natural Language Applications},
url = {https://ijcai.org/proceedings/1981/84},
}
TY - CPAPER TI - Multi-Strategy Construction-Specific Parsing for Flexible Data Base Query and Update AU - Hayes, Philip J. AU - Carbonell, Jaime G. T2 - Proceedings of the Seventh International Joint Conference on Artificial Intelligence, IJCAI-81 PB - International Joint Conferences on Artificial Intelligence PY - 1981 SP - 432 EP - 438 UR - https://ijcai.org/proceedings/1981/84 ER -Copied
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