Papers published during the EXCITE project
- Boukhers, Z., Ambhore, S., & Staab, S. (2019). An End-to-End Approach for Extracting and Segmenting High-Variance References from PDF Documents. 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL), 186–195. https://doi.org/10.1109/JCDL.2019.00035
- Ghavimi, B., Otto, W., & Mayr, P. (2019). An Evaluation of the Effect of Reference Strings and Segmentation on Citation Matching. In A. Doucet, A. Isaac, K. Golub, T. Aalberg, & A. Jatowt (Eds.), Digital Libraries for Open Knowledge (Vol. 11799, pp. 365–369). https://doi.org/10.1007/978-3-030-30760-8_35
- Ghavimi, B., Otto, W., & Mayr, P. (2019). EXmatcher: Combining Features Based on Reference Strings and Segments to Enhance Citation Matching [Technical Report]. Retrieved from https://arxiv.org/abs/1906.04484
- Hosseini, A., Ghavimi, B., Boukhers, Z., & Mayr, P. (2019). EXCITE - A toolchain to extract, match and publish open literature references. Proceedings of the ACM/IEEE Joint Conference on Digital Libraries 2019, 432–433. https://philippmayr.github.io/papers/JCDL2019-EXCITE-demo.pdf
- Körner, M., Ghavimi, B., Mayr, P., Hartmann, H., & Staab, S. (2017). Evaluating Reference String Extraction Using Line-Based Conditional Random Fields: A Case Study with German Language Publications. In M. Kirikova, K. Nørvåg, G. A. Papadopoulos, J. Gamper, R. Wrembel, J. Darmont, & S. Rizzi (Eds.), New Trends in Databases and Information Systems (Vol. 767, pp. 137–145). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-67162-8_1