1. Aronson, A.R., Demner-Fushman, D., Humphrey, S.M., Lin, J.J., Ruch, P., Ruiz, M.E., Smith, L.H., Tanabe, L.K., Wilbur, W.J., Liu, H.: Fusion of knowledge-intensive and statistical approaches for retrieving and annotating textual genomics documents. In: Voorhees, E.M., Buckland, L.P. (eds.) Proceedings of the Text REtrieval Conference, TREC 2005, NIST, vol Special Publication 500-266 (2005)
2. Bornmann, L., Mutz, R.: Growth rates of modern science: a bibliometric analysis based on the number of publications and cited references. J. Assoc. Inf. Sci. Technol. 66(11), 2215–2222 (2015)
3. Breiman, L.: Bagging predictors. Mach. Learn. 24(2), 123–140 (1996).
https://doi.org/10.1007/BF00058655
4. Brill, E.: Transformation-based error-driven learning and natural language processing: a case study in part-of-speech tagging. Comput. Linguist. 21(4), 543–565 (1995)
5. Erbs, N., Gurevych, I., Rittberger, M.: Bringing order to digital libraries: from keyphrase extraction to index term assignment. D-Lib Mag. 19(9/10), 1–16 (2013).
https://doi.org/10.1045/september2013-erbs