GLR Parser with Conditional Action Model using Surface Phrasal Types for Korean

Yong-Jae Kwak, So-Young Park, Hae-Chang Rim


Abstract
In this paper, we propose a new probabilistic GLR parsing method that can solve the problems of conventional methods. Our proposed Conditional Action Model uses Surface Phrasal Types (SPTs) encoding the functional word sequences of the sub-trees for describing structural characteristics of the partial parse. And, the proposed GLR model outperforms the previous methods by about 6~8%.
Anthology ID:
W03-3013
Volume:
Proceedings of the Eighth International Conference on Parsing Technologies
Month:
April
Year:
2003
Address:
Nancy, France
Venue:
IWPT
SIG:
SIGPARSE
Publisher:
Note:
Pages:
213–214
Language:
URL:
https://aclanthology.org/W03-3013
DOI:
Bibkey:
Cite (ACL):
Yong-Jae Kwak, So-Young Park, and Hae-Chang Rim. 2003. GLR Parser with Conditional Action Model using Surface Phrasal Types for Korean. In Proceedings of the Eighth International Conference on Parsing Technologies, pages 213–214, Nancy, France.
Cite (Informal):
GLR Parser with Conditional Action Model using Surface Phrasal Types for Korean (Kwak et al., IWPT 2003)
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PDF:
https://preview.aclanthology.org/author-url/W03-3013.pdf