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 |