An introduction to the Sundance and AutoSlog systems

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Publication Type technical report
School or College College of Engineering
Department Computing, School of
Program Advanced Research Projects Agency
Creator Riloff, Ellen M.
Other Author Phillips, William
Title An introduction to the Sundance and AutoSlog systems
Date 2004-11-08
Description This document describes the Sundance natural language processing system that has been developed at the University of Utah, as well as the AutoSlog and AutoSlog-TS extraction pattern learners that have been implemented on top of Sundance. Sundance is a shallow parser that also includes clause handling capabilities and an information extraction engine. AutoSlog and AutoSlog-TS are learning algorithms that can be used to generate extraction patterns automatically. This report includes: (1) a high-level overview of Sundance?s design and capabilities, (2) a detailed description of the steps that Sundance performs when analyzing sentences, (3) a discussion of the capabilities of the AutoSlog and AutoSlog-TS learning algorithms, and (4) guidance on how to install, use, and customize the Sundance and AutoSlog systems for new users and applications.
Type Text
Publisher University of Utah
Subject Sundance system; AutoSlog system; Extraction pattern learners
Subject LCSH Natural language processing (Computer science)
Language eng
Bibliographic Citation Riloff, Ellen M.; Phillips, William (2004). An introduction to the Sundance and AutoSlog systems. UUCS-04-015.
Series University of Utah Computer Science Technical Report
Relation is Part of ARPANET
Rights Management ©University of Utah
Format Medium application/pdf
Format Extent 236,818 bytes
Source University of Utah School of Computing
ARK ark:/87278/s6nk3zhq
Setname ir_uspace
ID 705709
Reference URL https://collections.lib.utah.edu/ark:/87278/s6nk3zhq
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