Machine Learning Techniques for Automatically Extracting Contextual Information from Scientific Publications

Author:

Klampfl Stefan,Kern Roman

Publisher

Springer International Publishing

Reference10 articles.

1. Aiello, M., Monz, C., Todoran, L., Worring, M.: Document understanding for a broad class of documents. Int. J. Doc. Anal. Recogn. 5(1), 1–16 (2002)

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3. Councill, I.G., Giles, C.L., Kan, M.Y.: ParsCit: an open-source CRF reference string parsing package. In: Calzolari, N., Choukri, K., Maegaard, B., Mariani, J., Odjik, J., Piperidis, S., Tapias, D. (eds.) Proceedings of LREC, vol. 2008, pp. 661–667. Citeseer, European Language Resources Association (ELRA) (2008)

4. Kern, R., Jack, K., Hristakeva, M., Granitzer, M.: TeamBeam - meta-data extraction from scientific literature. D-Lib Mag. 18(7/8) (2012)

5. Kern, R., Klampfl, S.: Extraction of references using layout and formatting information from scientific articles. D-Lib Mag. 19(9/10) (2013)

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