常用被引用文献 MIRA CRF

• MIRA （Margin Infused Relaxed Algorithm ）一种超保守在线算法, 在分类、排序、预测等应用领域取得不错成绩

理论

Koby Crammer.

2004. Online Learning of Com-plex Categorial Problems. Hebrew Univeristy of Jerusalem, PhD Thesis

2005. Ryan McDonald, and Fernando Pereira.Scalable large-margin online learning for structured classification.In NIPS Workshop on Learning With Structured Outputs

2006.Dekel O, Keshet J, Shalev-Shwartz S, SingerY. Online passive-aggressive algorithms.Journal of Machine Learning Research, 7: 551¡585

Ryan McDonald

2005.Crammer K, Pereira F. Online large-margin training of dependency parsers. In: Proceedings of the 43rd Annual Meeting on the Association for Computational Lin-guistics. Ann Arbor, USA: ACL, . 91¡98

2005. Femando Pereira, Kiril Ribarow, and Jan Hajic. Non-projective dependency parsing using spanning tree algorithms. In Proceedings of HLT/EMNLP, pages 523–530.

2006.Discriminative Training and Spanning Tree Algorithms for Dependency Parsing. University of Pennsylvania, PhD Thesis.

使用

2009.An Error-Driven Word-Character Hybrid Model for Joint Chinese Word Segmentation and POS Tagging

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• CRF（Conditional random fields）条件随机场，2001开始用于序列标注问题

理论

John Lafferty

2001. Andrew McCallum, and Fernando Pereira. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. InProceedings of ICML, pages 282–289

使用

2012. Fast Online Training with Frequency-Adaptive Learning Rates for Chinese Word Segmentation and New

未完待续……