| Publication Type | journal article |
| School or College | College of Engineering |
| Department | Kahlert School of Computing |
| 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 | ©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 |