An important function of an agent is to be "on the lookout" for bits of infor-
mation that are interesting to its user, even if these items appear in the
midst of a larger body of unstructured information. But how to tell these
agents which patterns are meaningful and what to do with the result?
Especially when agents are used to recognize text, they are usually
driven by parsers that require input in the form of textual grammar rules.
Editing grammars is difficult and error-prone for end users. Grammex
(Grammars by Example) is the ...
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