Yong-Jae Kwak


2003

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GLR Parser with Conditional Action Model using Surface Phrasal Types for Korean
Yong-Jae Kwak | So-Young Park | Hae-Chang Rim
Proceedings of the Eighth International Conference on Parsing Technologies

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%.


Automatic Acquistion of Constraints for Efficient Korean Parsing
So-Young Park | Yong-Jae Kwak | Hoo-Jung Chung | Young-Sook Hwang | Hae-Chang Rim
Proceedings of the Eighth International Conference on Parsing Technologies