CRYSTAL: Inducing a Conceptual Dictionary
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence. Natural Language. Pages 1314-1320.
Abstract
One of the central knowledge sources of an information extraction (IE) system is a dictionary of linguistic patterns that can be used to identify references to relevant information in a text. Automatic creation of conceptual dictionaries is important for portability and scalability of an IE system. This paper describes CRYSTAL, a system which automatically induces a dictionary of "concept-node definitions" sufficient to identify relevant information from a training corpus. Each of these concept-node definitions is generalized as far as possible without producing errors, so that a minimum number of dictionary entries cover the positive training instances. Because it tests the accuracy of each proposed definition, CRYSTAL can often surpass human intuitions in creating reliable extraction rules.
@inproceedings{ijcai1995p169,
title = {CRYSTAL: Inducing a Conceptual Dictionary},
author = {Soderland, Stephen and Fisher, David and Aseltine, Jonathan and Lehnert, Wendy G.},
booktitle = {Proceedings of the Fourteenth International Joint Conference on
Artificial Intelligence, {IJCAI-95}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Chris S. Mellish},
pages = {1314--1320},
year = {1995},
note = {Natural Language},
url = {https://ijcai.org/proceedings/1995/169},
}
TY - CPAPER TI - CRYSTAL: Inducing a Conceptual Dictionary AU - Soderland, Stephen AU - Fisher, David AU - Aseltine, Jonathan AU - Lehnert, Wendy G. T2 - Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI-95 PB - International Joint Conferences on Artificial Intelligence PY - 1995 SP - 1314 EP - 1320 UR - https://ijcai.org/proceedings/1995/169 ER -Copied
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