Encoding Extraction as Inferences

From Tetherless World Wiki

Jump to: navigation, search

Citation: J. William Murdock and Paulo Pinheiro da Silva and David A. Ferrucci and Christopher A. Welty and Deborah L. McGuinness. (2004) Encoding Extraction as Inferences. In KSL-04-06, 2004.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author J. William Murdock and Paulo Pinheiro da Silva and David A. Ferrucci and Christopher A. Welty and Deborah L. McGuinness
title Encoding Extraction as Inferences
number KSL-04-06
institution Knowledge Systems, AI Laboratory
year 2004
Bibtex more
Access Paper
abstract 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.

KSL Technical Report ID: KSL-04-06
Facts about Encoding Extraction as InferencesRDF feed
Abstract The analysis of natural-language text invo 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. this encoding of text analysis processes.
Author J. William Murdock and Paulo Pinheiro da Silva and David A. Ferrucci and Christopher A. Welty and Deborah L. McGuinness  +
Bibtype techreport  +
Has author J. William Murdock and Paulo Pinheiro da Silva and David A. Ferrucci and Christopher A. Welty and Deborah L. McGuinness  +
Has identifier KSL-04-06  +
Has publishing details 2004  +
Has title Encoding Extraction as Inferences  +
Has where published KSL-04-06  +
Has year 2004  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-04-06  +
Number KSL-04-06  +
Process note YES  +
Title Encoding Extraction as Inferences  +
Year 2004  +
Personal tools