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%0 Conference Proceedings
%T Reducing Parsing Complexity by Intra-Sentence Segmentation based on Maximum Entropy Model
%A Kim, Sung Dong
%A Zhang, Byoung-Tak
%A Kim, Yung Taek
%S 2000 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora
%D 2000
%8 October
%I Association for Computational Linguistics
%C Hong Kong, China
%F kim-etal-2000-reducing
%R 10.3115/1117794.1117815
%U https://aclanthology.org/W00-1321
%U https://doi.org/10.3115/1117794.1117815
%P 164-171

Markdown (Informal)

[Reducing Parsing Complexity by Intra-Sentence Segmentation based on Maximum Entropy Model](https://aclanthology.org/W00-1321) (Kim et al., VLC-EMNLP 2000)

• Reducing Parsing Complexity by Intra-Sentence Segmentation based on Maximum Entropy Model (Kim et al., VLC-EMNLP 2000)

ACL

• Sung Dong Kim, Byoung-Tak Zhang, and Yung Taek Kim. 2000. Reducing Parsing Complexity by Intra-Sentence Segmentation based on Maximum Entropy Model. In 2000 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, pages 164–171, Hong Kong, China. Association for Computational Linguistics.