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.
Saggion H, AbuRa'ed A, Ronzano F. Trainable citation-enhanced summarization of scientific articles. Proceedings of the Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL2016).
Saggion H, AbuRa'ed A, Ronzano F. Trainable citation-enhanced summarization of scientific articles. Proceedings of the Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL2016). CEUR Workshop Proceedings
In order to cope with the growing number of relevant scientific publications to consider at a given time, automatic text summarization is a useful technique. However, summarizing scientific papers poses important challenges for the natural language processing community. In recent years a number of evaluation challenges have been proposed to address the problem of summarizing a scientific paper taking advantage of its citation network (i.e., the papers that cite the given paper). Here, we present our trainable technology to address a number of challenges in the context of the 2nd Computational Linguistics Scientific Document Summarization Shared Task.
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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