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 |