. Day-min-yuh, S. Tsai-richard-tzong-han, L. Cheng-lung, and . Cheng-wei, A knowledge-based approach to citation extraction, IRI -2005 IEEE International Conference on Information Reuse and Integration, Conf, 2005., pp.4-9
DOI : 10.1109/IRI-05.2005.1506448

. Day-min-yuh, S. Tsai-richard-tzong-han, . Cheng-lung, L. Hsieh-chiu-chen, W. Cheng-wei et al., Reference metadata extraction using a hierarchical knowledge representation framework, Decision support systems, pp.152-167, 2007.

G. , O. Rosset, S. Tannier, X. , G. et al., Hybrid Citation Extraction from Patents, Proceedings of the Seventh International Language Resources and Evaluation (LREC'10, 2010.

G. C. Lee, D. Kurt, and L. Steve, Citeseer: an automatic citation indexing system, INTERNATIONAL CONFERENCE ON DIGITAL LIBRARIES p, pp.89-98, 1998.

G. C. , R. S. Zweigenbaum-p, G. O. Fort-k, and Q. L. , Proposal for an extension of traditional named entities: From guidelines to evaluation, an overview, Proc. of the Fifth Linguistic AnnotationWorkshop Association for Com-putational Linguistics, 2011.

H. Erik, A simple method for citation metadata extraction using hidden markov models, Proceedings of the 8th ACM, p.280, 2008.

Y. Kiat-ng, Citation Parsing Using Maximum Entropy and Repairs Citation Parsing Using Maximum Entropy and Repairs, 2005.

N. Zhen, Automatic Citation Metadata Extraction Using Hidden Markov Models, Science and Engineering, pp.802-805, 2009.

P. Brett and D. Robert, Evidence-Based Information Extraction for High Accuracy Citation and Author Name Identification, pp.618-632