Parsing and Maintaining Bibliographic References - Semi-supervised Learning of Conditional Random Fields with Constraints
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[1] Edward A. Fox,et al. A hybrid two-stage approach for discipline-independent canonical representation extraction from references , 2012, JCDL '12.
[2] Jie Zou,et al. Locating and parsing bibliographic references in HTML medical articles , 2009, International Journal on Document Analysis and Recognition (IJDAR).
[3] Richard O. Duda,et al. Use of the Hough transformation to detect lines and curves in pictures , 1972, CACM.
[4] Andrew McCallum,et al. Automating the Construction of Internet Portals with Machine Learning , 2000, Information Retrieval.
[5] Ben Taskar,et al. Posterior Regularization for Structured Latent Variable Models , 2010, J. Mach. Learn. Res..
[6] Andrew McCallum,et al. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.
[7] Gideon S. Mann,et al. Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data , 2010, J. Mach. Learn. Res..
[8] C. Lee Giles,et al. ParsCit: an Open-source CRF Reference String Parsing Package , 2008, LREC.
[9] Fabrizio Sebastiani,et al. Machine learning in automated text categorization , 2001, CSUR.
[10] Andrew McCallum,et al. Alternating Projections for Learning with Expectation Constraints , 2009, UAI.
[11] Ming-Wei Chang,et al. Guiding Semi-Supervision with Constraint-Driven Learning , 2007, ACL.