Encoding extraction as inferences

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Reference:

1. J. William Murdock, Paulo Pinheiro da Silva, David A. Ferrucci, Christopher A. Welty, Deborah L. McGuinness. Encoding Extraction as Inferences , Proceedings of AAAI Spring Symposium on Metacognition in Computation, 2005

bibtex

@inproceedings { KSL-04-06 ,
  author = "J. William Murdock, Paulo Pinheiro da Silva, David A. Ferrucci, Christopher A. Welty, Deborah L. McGuinness", 
booktitle = "Proceedings of AAAI Spring Symposium on Metacognition in Computation", 
publisher = "AAAI Press", 
title = "Encoding Extraction as Inferences", 
year = "2005", 
} 

abstract: The analysis of natural-language text involves many different kinds ofprocesses that might be described in multiple ways. One way to describethese processes is in terms of the semantics of their requirements andresults. Such a description makes it possible to view these processes asanalogous to inference rules in a theorem-proving system. This analogy isuseful for metacognition because there is existing theory andinfrastructure for manipulating inference rules. We describe a taxonomyof text extraction tasks that we have represented as inference rules. Wealso describe a working system that encodes the behavior of text analysiscomponents as a graph of inferences. This representation is currentlyused to present browsable explanations of text extraction to a user; infuture work, we expect to perform additional automated reasoning over thisencoding of text analysis processes.

download:

• paper: KSL-04-06.pdf
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