Publication Type |
Journal Article |
School or College |
College of Engineering |
Department |
Computing, School of |
Creator |
Riloff, Ellen M. |
Other Author |
Wiebe, Janyce |
Title |
Learning extraction patterns for subjective expressions |
Date |
2003 |
Description |
This paper presents a bootstrapping process that learns linguistically rich extraction patterns for subjective (opinionated) expressions. High-precision classifiers label unannotated data to automatically create a large training set, which is then given to an extraction pattern learning algorithm. The learned patterns are then used to identify more subjective sentences. The bootstrapping process learns many subjective patterns and increases recall while maintaining high precision. |
Type |
Text |
Publisher |
Association for Computational Linguistics |
First Page |
1 |
Last Page |
8 |
Subject |
Bootstrapping process; Extraction patterns; Subjective expressions; Opinions |
Subject LCSH |
Information retrieval; Natural language processing (Computer science); Subjectivity |
Language |
eng |
Bibliographic Citation |
Riloff, E. M., & Wiebe, J. (2003). Learning extraction patterns for subjective expressions. Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing (EMNLP-03), 1-8. |
Rights Management |
(c) Riloff, E. M., & Wiebe, J. |
Format Medium |
application/pdf |
Format Extent |
100,425 bytes |
Identifier |
ir-main,12434 |
ARK |
ark:/87278/s6xd1jts |
Setname |
ir_uspace |
ID |
702773 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6xd1jts |