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Classical Probabilistic Models and Conditional Random Fields

, and . TR07-2-013. Department of Computer Science, Dortmund University of Technology, (December 2007)

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Semi-Supervised Active Learning for Sequence Labeling., and . ACL/IJCNLP, page 1039-1047. The Association for Computer Linguistics, (2009)Inspecting Sample Reusability for Active Learning., and . Active Learning and Experimental Design @ AISTATS, volume 16 of JMLR Proceedings, page 169-181. JMLR.org, (2011)Classical Probabilistic Models and Conditional Random Fields, and . TR07-2-013. Department of Computer Science, Dortmund University of Technology, (December 2007)High-performance gene name normalization with GENO., , and . Bioinformatics, 25 (6): 815-821 (2009)Multi-Task Active Learning for Linguistic Annotations., , , and . ACL, page 861-869. The Association for Computer Linguistics, (2008)Annotation Time Stamps - Temporal Metadata from the Linguistic Annotation Process., and . LREC, European Language Resources Association, (2010)Reducing class imbalance during active learning for named entity annotation., and . K-CAP, page 105-112. ACM, (2009)An Annotation Type System for a Data-Driven NLP Pipeline., , , , , , and . LAW@ACL, page 33-40. Association for Computational Linguistics, (2007)A Proposal for a Configurable Silver Standard., , , and . Linguistic Annotation Workshop, page 235-242. Association for Computational Linguistics, (2010)How Feasible and Robust is the Automatic Extraction of Gene Regulation Events? A Cross-Method Evaluation under Lab and Real-Life Conditions., , , , and . BioNLP@HLT-NAACL, page 37-45. Association for Computational Linguistics, (2009)