1. Achakulvisut, T., Bhagavatula, C., Acuna, D., & Kording, K. (2019). Claim extraction in biomedical publications using deep discourse model and transfer learning. arxiv:1907.00962
2. Akbik, A., Blythe, D., & Vollgraf, R. (2018). Contextual string embeddings for sequence labeling. In Proceedings of the 27th International Conference on Computational Linguistics, (pp. 1638–1649). Association for Computational Linguistics.
3. Aksnes, D. W. (2006). Citation rates and perceptions of scientific contribution. Journal of the Association for Information Science and Technology, 57(2), 169–185.
4. Al Khatib, K., Ghosal, T., Hou, Y., de Waard, A., & Freitag, D. (2021). Argument mining for scholarly document processing: Taking stock and looking ahead. In Proceedings of the Second Workshop on Scholarly Document Processing, (pp. 56–65).
5. Augenstein, I., Das, M., Riedel, S., Vikraman, L., & McCallum, A. (2017). Semeval 2017 task 10: Scienceie—extracting keyphrases and relations from scientific publications. In Bethard, S., Carpuat, M., Apidianaki, M., Mohammad, S.M., Cer, D.M., Jurgens, D. (eds.) Proceedings of the 11th International Workshop on Semantic Evaluation, SemEval@ACL 2017, (pp. 546–555). Association for Computational Linguistics.