1. Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., Corrado, G. S., Davis, A., Dean, J., Devin, M., Ghemawat, S., Goodfellow, I., Harp, A., Irving, G., Isard, M., Jia, Y., Jozefowicz, R., Kaiser, L., Kudlur, M., Levenberg, J., Mané, D., Monga, R., Moore, S., Murray, D., Olah, C., Schuster, M., Shlens, J., Steiner, B., Sutskever, I., Talwar, K., Tucker, P., Vanhoucke, V., Vasudevan, V., Viégas, F., Vinyals, O., Warden, P., Wattenberg, M., Wicke, M., Yu, Y., Zheng, X.: TensorFlow: large-scale machine learning on heterogeneous systems. Software available from https://www.tensorflow.org/ (2015)
2. Abu-Jbara, A., Ezra, J., Radev, D.: Purpose and polarity of citation: towards NLP-based bibliometrics. In: Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 596–606 (2013a)
3. Abu-Jbara, A., Ezra, J., Radev, D.: Purpose and polarity of citation: towards NLP-based bibliometrics. In: Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 596–606, Atlanta, Georgia. Association for Computational Linguistics (2013b)
4. Abu-Jbara, A., Radev, D. R.: Reference scope identification in citing sentences. In: HLT-NAACL (2012)
5. Akbik, A., Bergmann, T., Blythe, D., Rasul, K., Schweter, S., Vollgraf, R.: FLAIR: An easy-to-use framework for state-of-the-art NLP. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations), pp. 54–59, Minneapolis, Minnesota. Association for Computational Linguistics (2019)