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    <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%.</abstract>
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%0 Conference Proceedings
%T GLR Parser with Conditional Action Model using Surface Phrasal Types for Korean
%A Kwak, Yong-Jae
%A Park, So-Young
%A Rim, Hae-Chang
%S Proceedings of the Eighth International Conference on Parsing Technologies
%D 2003
%8 April
%C Nancy, France
%F kwak-etal-2003-glr
%X 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%.
%U https://aclanthology.org/W03-3013
%P 213-214

Markdown (Informal)

[GLR Parser with Conditional Action Model using Surface Phrasal Types for Korean](https://aclanthology.org/W03-3013) (Kwak et al., IWPT 2003)

• GLR Parser with Conditional Action Model using Surface Phrasal Types for Korean (Kwak et al., IWPT 2003)

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.