Publisher
Springer Nature Switzerland
Reference21 articles.
1. Accuosto, P., Neves, M., Saggion, H.: Argumentation mining in scientific literature: from computational linguistics to biomedicine. In: Frommholz I, Mayr P, Cabanac G, Verberne S, editors. BIR 2021: 11th International Workshop on Bibliometric-enhanced Information Retrieval, 1 April 2021, Lucca, Italy. Aachen: CEUR
2. 2021, pp. 20-36. CEUR Workshop Proceedings (2021)
3. Accuosto, P., Saggion, H.: Transferring knowledge from discourse to arguments: a case study with scientific abstracts. In: Stein, B., Wachsmuth, H., (eds.) Proceedings of the 6th Workshop on Argument Mining, 1 August 2019, Florence, Italy. Stroudsburg: Association for Computational Linguistics, pp. 41–51. ACL (Association for Computational Linguistics) (2019)
4. Accuosto, P., Saggion, H.: Mining arguments in scientific abstracts with discourse-level embeddings. Data Knowl. Eng. 129, 101840 (2020). https://doi.org/10.1016/j.datak.2020.101840, https://www.sciencedirect.com/science/article/pii/S0169023X20300446
5. Bless, C., Baimuratov, I., Karras, O.: Scikgtex - a latex package to semantically annotate contributions in scientific publications (2023)