Researches and papers using FlexCRFs or PCRFs for conducting experiments should include the following citation:
Xuan-Hieu Phan, Le-Minh Nguyen, and Cam-Tu Nguyen. FlexCRFs: Flexible Conditional Random Fields, 2004.
Here is an incomplete list of published papers that use and cite FlexCRFs or PCRFs:
- X. Wang, X. Liu, Z. Shi, and H. Sui. A feature binding computational model for multi-class object categorization and recognition. Neural Computing and Applications, 2011.
- X. Duan, M. Zhang, and H. Li. Pseudo-word for phrase-based machine translation. In Proc. of ACL, 2010.
- F. Liu and Y. Liu. Identification of Soundbite and Its Speaker Name Using Transcripts of Broadcast News Speech, The ACM Transactions on Asian Language Information Processing (ACM TALIP), Vol.9, No.1, 2010.
- L. Badino. Identifying Prosodic Prominence Patterns for English Text-to-Speech Synthesis. PhD Thesis, University of Edinburgh, 2010.
- F. Zhao, J. Peng, J. Debartolo, K. Freed, T. Sosnick, and J. Xu. A probabilistic and continuous model of protein conformational space for template-free modeling. Journal of Computational Biology, Vol.17, No.6, 2010.
- X. Geng, J. Guan, Q. Dong, and S. Zhou. Protein backbone dihedral angle prediction based on probabilistic models. In Proc. of Bioinformatics and Biomedical Engineering (iCBBE), 2010.
- B. Liu, X. Wang, L. Lin, B. Tang, Q. Dong, and X. Wang. Prediction of protein binding sites in protein structures using hidden Markov support vector machine. BMC Bioinformatics, 2009.
- Q. Dong, S. Zhou, J. Guan. Improving prediction of the contact numbers of residues in proteins from primary sequences. IJCBS '09 Proceedings of the 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing, 2009.
- F. Maes, L. Denoyer, and P. Gallinari. Structured prediction with reinforcement learning. Machine Learning Journal, Vol.77, No.2-3, 2009.
- F. Zhao, J. Peng, J. Debartolo, K. Freed, T. Sosnick, and J. Xu. A probabilistic graphical model for ab initio folding. Research in Computational Molecular Biology, 2009.
- T. Buzhou, W. Xuan, and W. Xiaolong. Protein secondary structure prediction using large margin methods. The 8th IEEE/ACIS International Conference on Computer and Information Science (ICIS), 2009.
- K. Hirohata, N. Okazaki, S. Ananiadou, and M. Ishizuka. Identifying sections in scientific abstracts using conditional random fields. In Proc. of the IJCNLP, 2008.
- J. Zhang, C. Zong, and S. Li. Sentence type based reordering model for statistical machine translation. In Proc. of COLING, 2008.
- J. Zhao, K. Liu, and G. Wang. Adding redundant features for CRFs-based sentence sentiment classification. In Proc. of EMNLP, 2008.
- C. Xu, Y.-F. Zhang, G. Zhu, Y. Rui, H. Liu, and Q. Huang. Using webcast text for semantic event detection in broadcast sports video. IEEE Transactions on Multimedia, Vol.10, No.7, 2008.
- L. Li, X. Wang, Y. Yu, X. Wang. Model fusion of conditional random fields. In Proc. of IEEE International Conference on System, Man, and Cybernetics, 2007.
- F. Maes, L. Denoyer, and P. Gallinari. Sequence labeling with reinforcement learning and ranking algorithms. In Proc. of ECML, 2007.
- G. Wisniewski and P. Gallinari. From Layout to Semantic: A reranking model for mapping Web documents to mediated XML representations. In Proc. of the 8th Conference on Large-scale Semantic Access to Content (Text, Image, Video, and Sound), RIAO, 2007.
- P. Lu, Y. Yang, Y. Gao, and H. Ren. Hierarchical Conditional Random Fields (HCRF) for Chinese Named Entity Tagging. In Proc. of The Third International Conference on Natural Computation, 2007.
- G. Wisniewski and P. Gallinari. Relaxation labeling for selecting and exploiting efficiently non-local dependencies in sequence labeling. In Proc. of the European Conference on Principles of Data Mining and Knowledge Discovery (PKDD), 2007.
- J. Yuan, J. Li, and B. Zhang. Gradual transition detection with conditional random fields. In Proc. of the 15th International Conference on Multimedia, 2007.
- W. Li, D. Qian, Q. Lu, and C. Yuan. Detecting, categorizing and clustering entity mentions in Chinese text. In Proc. of the 30th ACM SIGIR, 2007.
- M.-H. Li, L. Lin, X.-L. Wang, and T. Lin. Protein-protein interaction site prediction based on conditional random fields. Bioinformatics, 23(5):597-604, 2007.
- T. Wang, J. Li, Q. Diao, W. Hu, Y. Zhang, and C. Dulong. Semantic event detection using conditional random fields. In Proc. of the 2006 Conf. on Computer Vision and Pattern Recognition Workshop, 2006.
- J. Shan, Y. Chen, Q. Diao, Y. Zhang. Parallel information extraction on shared memory multi-processor system. In Proc. of International Conference on Parallel Processing, 2006.
- D.-H. Tran, T.-H. Pham, K. Satou, T.-B. Ho. Conditional random fields for predicting and analyzing histone occupancy, acetylation and methylation areas in DNA sequences. In Proc. of the EvoWorkshops, 2006.
- C.-T. Nguyen, T.-K. Nguyen, X.-H. Phan, L.-M. Nguyen, and Q.-T. Ha. Vietnamese word segmentation with CRFs and SVMs: an investigation. In Proc. of the 20th Pacific Asia Conference on Language, Information, and Computation, 2006.
- X.-H. Phan, L.-M. Nguyen, Y. Inoguchi, T.-B. Ho, and S. Horiguchi. Improving discriminative sequential learning by discovering important associations of statistics. ACM Transactions on Asian Language and Information Processing, 5(4):413-438, 2006.
- Y.-H. Lee, M.-Y. Kim, and J.-H. Lee. Chunking using conditional random fields in Korean texts. In Proc. of IJCNLP, 2005.