Chinese Chunking with Tri-Training Learning

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by Wenliang Chen , Yujie Zhang , Hitoshi Isahara
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1 H.: An empirical study of chinese chunking – Wenliang Chen, Yujie Zhang, Hitoshi Isahara - 2006
Exploiting Chunk-level Features to Improve Phrase Chunking – Junsheng Zhou, Weiguang Qu, Fen Zhang
7 A General and Multi-lingual Phrase Chunking Model based on Masking Method – Yu-chieh Wu, Chia-hui Chang, Yue-shi Lee - 2006
Improving Named Entity Extraction Accuracy using Unlabeled Data and Several Extractors – Tomoya Iwakura, Seishi Okamoto
268 Semi-Supervised Learning Literature Survey – Xiaojin Zhu - 2006
Arbitrary Phrase Identification using Linear Kernel with Mask Method – Chia-hui Chang, Yu-chieh Wu
13 Semi-supervised sequential labeling and segmentation using giga-word scale unlabeled data – Jun Suzuki, Hideki Isozaki - 2008
12 Filtering-ranking perceptron learning for partial parsing – A. Xavier Carreras, B. Lluís Màrquez, C. Jorge Castro - 2005
10 Semi-supervised learning for natural language – Percy Liang - 2005
3 Applying maximum entropy to robust chinese shallow parsing – Shih-hung Wu, Cheng-wei Shih, Chia-wei Wu, Tzong-han Tsai - 2005
336 Shallow Parsing with Conditional Random Fields – Fei Sha, Fernando Pereira - 2003
1 A SVM-based Model for Chinese Functional Chunk Parsing – Yingze Zhao
13 Bootstrapping Coreference Classifiers with Multiple Machine Learning Algorithms – Vincent Ng, Claire Cardie - 2003
in Natural Language Processing, pp. 113-120. Bootstrapping Coreference Classifiers with Multiple Machine Learning Algorithms – Vincent Ng, Claire Cardie
5 Semi-supervised structured output learning based on a hybrid generative and discriminative approach – Jun Suzuki, Akinori Fujino, Hideki Isozaki - 2007
20 Novel Estimation Methods for Unsupervised Discovery of Latent Structure in Natural Language Text – Noah Ashton Smith - 2006
1 Joint Labeling of Multiple Sequences: a Factorial Hmm Approach – Kevin Duh - 2005
2 Jointly Labeling Multiple Sequences: A Factorial HMM Approach – Kevin Duh - 2005
88 Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data – Charles Sutton, Khashayar Rohanimanesh, Andrew McCallum - 2004