Are Statistics-Based Approaches Good Enough For NLP? A Case Study Of Maximal-Length NP Extraction In Mandarin Chinese

Wenjie Li, Haihua Pan, Ming Zhou, Kam-Fai Wong, Vincent Lum


Anthology ID:
O95-1006
Volume:
Proceedings of Rocling VIII Computational Linguistics Conference VIII
Month:
August
Year:
1995
Address:
Taoyuan, Taiwan
Venue:
ROCLING
SIG:
Publisher:
The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
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Pages:
137–153
Language:
URL:
https://aclanthology.org/O95-1006
DOI:
Bibkey:
Cite (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).
Cite (Informal):
Are Statistics-Based Approaches Good Enough For NLP? A Case Study Of Maximal-Length NP Extraction In Mandarin Chinese (Li et al., ROCLING 1995)
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https://preview.aclanthology.org/author-url/O95-1006.pdf