Multi-perspective and Domain Specific Tagging of Chemical Documents

Author:

Deepika S. S.,Geetha T. V.,Sridhar Rajeswari

Publisher

Springer Singapore

Reference27 articles.

1. Kolárik, C., Klinger, R., Friedrich, C.M., Hofmann-Apitius, M., Fluck, J.: Chemical names: terminological resources and corpora annotation. In: Workshop on Building and Evaluating Resources for Biomedical Text Mining. Language Resources and Evaluation Conference, 6th edn., pp. 51–58 (2008)

2. Roberts, P.M., Hayes, W.S.: Information needs and the role of text mining in drug development. In: Pacific Symposium on Biocomputing, vol. 13, pp. 592–603 (2008)

3. Sonu, G.S., Harikumar, S.L., Navis, S.: A review on drug-drug and drug-food interactions in patients during the treatment of diabetes mellitus. Int. J. Pharmacol. Clin. Sci. 4(4), 98–105 (2015)

4. Cohen, A.M., Hersh, W.R.: A survey of current work in biomedical text mining. Briefings Bioinform. 6(1), 57–71 (2005)

5. Friedrich, C.M., Revillion, T., Hofmann, M., Fluck, J.: Biomedical and chemical named entity recognition with conditional random fields: the advantage of dictionary features. In: Proceedings of the Second International Symposium on Semantic Mining in Biomedicine, BMC Bioinformatics, vol. 7, pp. 85–89 (2006)

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