Publication Type |
pre-print |
School or College |
College of Engineering |
Department |
Computing, School of |
Creator |
Riloff, Ellen M. |
Other Author |
Gilbert, Nathan |
Title |
Domain-specific coreference resolution with lexicalized features |
Date |
2014-01-01 |
Description |
Most coreference resolvers rely heavily on string matching, syntactic properties, and semantic attributes of words, but they lack the ability to make decisions based on individual words. In this paper, we explore the benefits of lexicalized features in the setting of domain-specific coreference resolution. We show that adding lexicalized features to off-the-shelf coreference resolvers yields significant performance gains on four domain-specific data sets and with two types of coreference resolution architectures. |
Type |
Text |
Publisher |
Association for Computational Linguistics |
Volume |
2 |
First Page |
81 |
Last Page |
86 |
Language |
eng |
Bibliographic Citation |
Gilbert, N., & Riloff, E. (2014). Domain-specific coreference resolution with lexicalized features. Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013), 2, 81-6. |
Rights Management |
(c)Author Ellen M. Riloff |
Format Medium |
application/pdf |
Format Extent |
61,772 bytes |
Identifier |
uspace,18967 |
ARK |
ark:/87278/s674011x |
Setname |
ir_uspace |
ID |
712694 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s674011x |