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%0 Conference Proceedings
%T Are Statistics-Based Approaches Good Enough For NLP? A Case Study Of Maximal-Length NP Extraction In Mandarin Chinese
%A Li, Wenjie
%A Pan, Haihua
%A Zhou, Ming
%A Wong, Kam-Fai
%A Lum, Vincent
%Y Chen, Hsin-Hsi
%S Proceedings of Rocling VIII Computational Linguistics Conference VIII
%D 1995
%8 August
%I The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
%C Taoyuan, Taiwan
%F li-etal-1995-statistics
%U https://aclanthology.org/O95-1006
%P 137-153

Markdown (Informal)

[Are Statistics-Based Approaches Good Enough For NLP? A Case Study Of Maximal-Length NP Extraction In Mandarin Chinese](https://aclanthology.org/O95-1006) (Li et al., ROCLING 1995)

• Are Statistics-Based Approaches Good Enough For NLP? A Case Study Of Maximal-Length NP Extraction In Mandarin Chinese (Li et al., ROCLING 1995)

ACL

• Wenjie Li, Haihua Pan, Ming Zhou, Kam-Fai Wong, and Vincent Lum. 1995. Are Statistics-Based Approaches Good Enough For NLP? A Case Study Of Maximal-Length NP Extraction In Mandarin Chinese. In Proceedings of Rocling VIII Computational Linguistics Conference VIII, pages 137–153, Taoyuan, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).