The second Maria de Maeztu Strategic Research Program (CEX2021-001195-M) of the Department of Information and Communication Technologies (DTIC) takes place between 2023 and 2026. The website for this program is under construction. You can find some details in this news.
The first María de Maeztu Strategic Research Program (MDM-2015-0502) took place between January 2016 and June 2020. It was focused on data-driven knowledge extraction, boosting synergistic research initiatives across our different research areas.
Accuosto P, Saggion H. Discourse-Driven Argument Mining in Scientific Abstracts. Natural Language Processing and Information Systems. NLDB 2019
Accuosto P, Saggion H. Discourse-Driven Argument Mining in Scientific Abstracts. Natural Language Processing and Information Systems. NLDB 2019
Argument mining consists in the automatic identification of argumentative structures in texts. In this work we address the open question of whether discourse-level annotations can contribute to facilitate the identification of argumentative components and relations in scientific literature. We conduct a pilot study by enriching a corpus of computational linguistics abstracts that contains discourse annotations with a new argumentative annotation level. The results obtained from preliminary experiments confirm the potential value of the proposed approach.
https://doi.org/10.1007/978-3-030-23281-8_15
Open access version at UPF e-repository: http://hdl.handle.net/10230/41907
Related Assets
Department of Information and Communication Technologies, UPF
Grant CEX2021-001195-M funded by MCIN/AEI /10.13039/501100011033
Department of Information and Communication Technologies, UPF
- Àngel Lozano - Scientific director
- Aurelio Ruiz - Program management