CRYSTAL: Inducing a Conceptual Dictionary
<|reference_start|>CRYSTAL: Inducing a Conceptual Dictionary: 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.<|reference_end|>
@article{soderland1995crystal:,
    title={CRYSTAL: Inducing a Conceptual Dictionary},
    author={Stephen Soderland, David Fisher, Jonathan Aseltine, Wendy Lehnert
  (University of Massachusetts)},
    journal={arXiv preprint arXiv:cmp-lg/9505020},
    year={1995},
    archivePrefix={arXiv},
    eprint={cmp-lg/9505020},
    primaryClass={cmp-lg cs.CL}
}