CRYSTAL: Inducing a Conceptual Dictionary
| dc.creator | Soderland, Stephen | |
| dc.creator | Fisher, David | |
| dc.creator | Aseltine, Jonathan | |
| dc.creator | Lehnert, Wendy | |
| dc.date | 1995-05-09 | |
| dc.date.accessioned | 2026-07-07T09:09:50Z | |
| dc.date.available | 2026-07-07T09:09:50Z | |
| dc.description | One of the central knowledge sources of an information extraction system is a dictionary of linguistic patterns that can be used to identify the conceptual content of a text. 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. | |
| dc.description | 6 pages, Postscript, IJCAI-95 http://ciir.cs.umass.edu/info/psfiles/tepubs/tepubs.html | |
| dc.identifier | https://arxiv.org/abs/cmp-lg/9505020 | |
| dc.identifier | http://arxiv.org/abs/cmp-lg/9505020 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/151179 | |
| dc.subject | Computation and Language | |
| dc.title | CRYSTAL: Inducing a Conceptual Dictionary | |
| dc.type | text |