Introduction to the Sundance and AutoSlog systems

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Publication Type Journal Article
School or College College of Engineering
Department Computing, School of
Creator Riloff, Ellen M.
Other Author Phillips, William
Title Introduction to the Sundance and AutoSlog systems
Date 2004
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
First Page 1
Last Page 47
Subject Autoslog system; Sundance system; Extraction pattern learners; Learning algorithms
Subject LCSH Natural language processing (Computer science)
Language eng
Bibliographic Citation Riloff, E. M., & Phillips, W. (2004). Introduction to the Sundance and AutoSlog systems. University of Utah School of Computing Technical Report #UUCS-04-015, 1-47.
Series University of Utah Computer Science Technical Report
Rights Management (c)University of Utah
Format Medium application/pdf
Format Extent 229,917 bytes
Identifier ir-main,12464
ARK ark:/87278/s6t44brv
Setname ir_uspace
ID 706911
Reference URL https://collections.lib.utah.edu/ark:/87278/s6t44brv