Naïve Bayes and SVM classifiers for classifying databank accession number sentences from online biomedical articles

Jongwoo Kim, Daniel X. Le, George R. Thoma. Naïve Bayes and SVM classifiers for classifying databank accession number sentences from online biomedical articles. In Laurence Likforman-Sulem, Gady Agam, editors, Document Recognition and Retrieval XVII - DRR 2010, 17th Document Recognition and Retrieval Conference, part of the IS&T-SPIE Electronic Imaging Symposium, San Jose, CA, USA, January 17-22, 2010, Proceedings. Volume 7534 of SPIE Proceedings, pages 1-10, SPIE, 2010. [doi]

@inproceedings{KimLT10,
  title = {Naïve Bayes and SVM classifiers for classifying databank accession number sentences from online biomedical articles},
  author = {Jongwoo Kim and Daniel X. Le and George R. Thoma},
  year = {2010},
  doi = {10.1117/12.838961},
  url = {http://dx.doi.org/10.1117/12.838961},
  researchr = {https://researchr.org/publication/KimLT10},
  cites = {0},
  citedby = {0},
  pages = {1-10},
  booktitle = {Document Recognition and Retrieval XVII - DRR 2010, 17th Document Recognition and Retrieval Conference, part of the IS&T-SPIE Electronic Imaging Symposium, San Jose, CA, USA, January 17-22, 2010, Proceedings},
  editor = {Laurence Likforman-Sulem and Gady Agam},
  volume = {7534},
  series = {SPIE Proceedings},
  publisher = {SPIE},
  isbn = {978-0-8194-7927-3},
}