Precedence-inclusion patterns, a generalization of constituent structure trees in computational linguistics, possess a significant theory of pattern generalization that can be applied to the problem of relational learning in many settings, including learning from text, images, and video. When specialized to posets, the result is a new theory of poset generalization that may be applied to ontologies and hierarchical classification systems.
By: Frank J. Oles
Published in: RC22312 in 2002
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