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.
Natural Language Processing for Intelligent Access to Scientific Information Tutorial
In the context of the project Mining the Knowledge of Scientific Publications, a workshop in COLING 2016 (December 11-16, Osaka) led by H. Saggion and F. Ronzano will provide a comprehensive overview of issues to face in order to mine scientific textual information in NLP, identify challenges, solutions and opportunities.
During the last decade the amount of scientific information available on-line increased at an unprecendeted rate. Automated methodologies are essential to analyze, integrate and thus provide the possibility to consistently and exhaustively search, browse and aggregate such a huge amount of scientific contents.
In the context of the project Mining the Knowledge of Scientific Publications, Horacio Saggion and Francesco Ronzano will offer the tutorial Natural Language Processing for Intelligent Access to Scientific Information at COLING 2016. This tutorial will provide a comprehensive overview of issues to face in order to mine scientific textual information in NLP, identify challenges, solutions and opportunities
The tutorial will contribute to disseminate some of the publications and datasets generated and used in the project, such as:
- Ronzano F, Saggion H. Knowledge Extraction and Modeling from Scientific Publications. Enhancing Scholarly Data Workshop –SAVE-SD2016
- SUMMA - Text Summarization Toolkit
- Dr. Inventor Text Mining Framework (Version 1.4, released on: 28/4/2016)
- Dr. Inventor Multi-layer Scientific Corpus
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