]> 2012-05-29T10:04:21-04:00 Encoding Extraction as Inferences The analysis of natural-language text involves many different kinds of processes that might be described in multiple ways. One way to describe these processes is in terms of the semantics of their requirements and results. Such a description makes it possible to view these processes as analogous to inference rules in a theorem-proving system. This analogy is useful for meta cognition because there is existing theory and infrastructure for manipulating inference rules. We describe a taxonomy of text extraction tasks that we have represented as inference rules. We also describe a working system that encodes the behavior of text analysis components as a graph of inferences. This representation is currently used to present browsable explanations of text extraction to a user; in future work, we expect to perform additional automated reasoning over this encoding of text analysis processes. techreport 2004 Encoding Extraction as Inferences KSL-04-06 2004 Encoding Extraction as Inferences 2004 Year Title YES Process note Number Ksl tr id Knowledge Systems, AI Laboratory Institution Has year Has where published Has title Has publishing details Has identifier Has author Bibtype J. William Murdock and Paulo Pinheiro da Silva and David A. Ferrucci and Christopher A. Welty and Deborah L. McGuinness Author Abstract KSL Technical Report Publication Technical Report