Training conditional random fields using incomplete annotations

被引：0
|
作者：
Tsuboi, Yuta [1 ]
Kashima, Hisashi [1 ]
Mori, Shinsuke [2 ]
Oda, Hiroki [3 ]
Matsumoto, Yuji [4 ]
机构：
[1] Tokyo Research Laboratory, IBM Research, IBM Japan, Ltd., Yamato, Kanagawa 242-8502, Japan
[2] Academic Center for Computing and Media Studies, Kyoto University, Sakyo-ku, Kyoto 606-8501, Japan
[3] Shinagawa, Tokyo, Japan
[4] Graduate School of Information Science, Nara Institute of Science and Technology, Takayama, Ikoma, Nara 630-0101, Japan
来源：
Coling 2008 - 22nd International Conference on Computational Linguistics, Proceedings of the Conference | 2008年 / 1卷
关键词：
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I：
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中图分类号：
学科分类号：
摘要：
Conditional random field - Conditional Random Fields(CRFs) - Domain adaptation - Parameter estimation method - Part of speech tagging - Treebanks - Word segmentation
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页码：897 / 904
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