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1、Hidden Markov ModelsRabiner, L. A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition. (Proceedings of the IEEE 1989) Freitag and McCallum, 2000, Information Extraction with HMM Structures Learned by Stochastic Optimization, (AAAI00) Maximum EntropyAdwait R. A Maximum En
2、tropy Model for POS tagging, (1994) A. Berger, S. Della Pietra, and V . Della Pietra. A maximum entropy approach to natural language processing. (CL1996) A. Ratnaparkhi. Maximum Entropy Models for Natural Language Ambiguity Resolution. PhD thesis, University of Pennsylvania, 1998. Hai Leong Chieu, 2
3、002. A Maximum Entropy Approach to Information Extraction from Semi-Structured and Free Text, (AAAI02) MEMMMcCallum et al., 2000, Maximum Entropy Markov Models for Information Extraction and Segmentation, (ICML00) Punyakanok & Roth, 2001, The Use of Classifiers in Sequential Inference. (NIPS01) Perc
4、eptron McCallum, 2002 Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms (EMNLP02) Y. Li, K. Bontcheva, and H. Cunningham. Using Uneven-Margins SVM and Perceptron for Information Extraction. (CoNLL05) SVMZ. Zhang. Weakly-Supervised Relation Cl
5、assification for Information Extraction (CIKM04) H. Han et al. Automatic Document Metadata Extraction using Support Vector Machines (JCDL03) Aidan Finn and Nicholas Kushmerick. Multi-level Boundary Classification for Information Extraction (ECML2004) Yves Grandvalet, Johnny Mari? , A Probabilistic I
6、nterpretation of SVMs with an Application to Unbalanced Classification. (NIPS 05) CRFsJ. Lafferty et al. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. (ICML01) Hanna Wallach. Efficient Training of Conditional Random Fields. MS Thesis 2002 Taskar, B., Abbe
7、el, P., & Koller, D. Discriminative probabilistic models for relational data. (UAI02) Fei Sha and Fernando Pereira. Shallow Parsing with Conditional Random Fields. (HLT/NAACL 2003) B. Taskar, C. Guestrin, and D. Koller. Max-margin markov networks. (NIPS2003) S. Sarawagi and W. W. Cohen. Semi-Markov
8、Conditional Random Fields for Information Extraction (NIPS04) Brian Roark et al. Discriminative Language Modeling with Conditional Random Fields and the Perceptron Algorithm (ACL2004) H. M. Wallach. Conditional Random Fields: An Introduction (2004) Kristjansson, T.; Culotta, A.; Viola, P.; and McCal
9、lum, A. Interactive Information Extraction with Constrained Conditional Random Fields. (AAAI2004) Sunita Sarawagi and William W. Cohen. Semi-Markov Conditional Random Fields for Information Extraction. (NIPS2004) John Lafferty, Xiaojin Zhu, and Yan Liu. Kernel Conditional Random Fields: Representati
10、on and Clique Selection. (ICML2004) POS TaggingJ. Kupiec. Robust part-of-speech tagging using a hidden Markov model. (Computer Speech and Language1992) Hinrich Schutze and Yoram Singer. Part-of-Speech Tagging using a Variable Memory Markov Model. (ACL 1994)Adwait Ratnaparkhi. A maximum entropy model
11、 for part-of-speech tagging. (EMNLP1996) Noun Phrase Extraction E. Xun, C. Huang, and M. Zhou. A Unified Statistical Model for the Identification of English baseNP. (ACL00) Named Entity RecognitionAndrew McCallum and Wei Li. Early Results for Named Entity Recognition with Conditional Random Fields,
12、Feature Induction and Web-enhanced Lexicons. (CoNLL2003). Moshe Fresko et al. A Hybrid Approach to NER by MEMM and Manual Rules, (CIKM2005). Chinese Word Segmentation Fuchun Peng et al. Chinese Segmentation and New Word Detection using Conditional Random Fields, COLING 2004. Document Data Extraction
13、Andrew McCallum, Dayne Freitag, and Fernando Pereira. Maximum entropy Markov models for information extraction and segmentation. (ICML2000). David Pinto, Andrew McCallum, etc. Table Extraction Using Conditional Random Fields. SIGIR 2003. Fuchun Peng and Andrew McCallum. Accurate Information Extracti
14、on from Research Papers using Conditional Random Fields. (HLT-NAACL2004) V. Carvalho, W. Cohen. Learning to Extract Signature and Reply Lines from Email. In Proc. of Conference on Email and Spam (CEAS04) 2004. Jie Tang, Hang Li, Yunbo Cao, and Zhaohui Tang, Email Data Cleaning, SIGKDD05 P. Viola, an
15、d M. Narasimhan. Learning to Extract Information from Semi-structured Text using a Discriminative Context Free Grammar. (SIGIR05) Yunhua Hu, Hang Li, Yunbo Cao, Dmitriy Meyerzon, Li Teng, and Qinghua Zheng, Automatic Extraction of Titles from General Documents using Machine Learning, Information Pro
16、cessing and Management, 2006 Web Data ExtractionAriadna Quattoni, Michael Collins, and Trevor Darrell. Conditional Random Fields for Object Recognition. (NIPS2004) Yunhua Hu, Guomao Xin, Ruihua Song, Guoping Hu, Shuming Shi, Yunbo Cao, and Hang Li, Title Extraction from Bodies of HTML Documents and Its Application to Web Page Retrieval, (SIGIR05) Jun Zhu et al. Mutual Enhancement of Record Detection and Attribute Labeling in Web Data Extraction. (SIGKDD 2006) Event ExtractionKiyotaka Uchimoto, Q
