Proceedings

CRYSTAL: Inducing a Conceptual Dictionary

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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.

Stephen Soderland, David Fisher, Jonathan Aseltine, and Wendy G. Lehnert. 1995. CRYSTAL: Inducing a Conceptual Dictionary. In Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI-95. IJCAI, 1314–1320. https://ijcai.org/proceedings/1995/169
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