Natural Language Processing for Intelligent Access to Scientific Information Tutorial
We develop a large number of software tools and hosting infrastructures to support the research developed at the Department. We will be detailing in this section the different tools available. You can take a look for the moment at the offer available within the UPF Knowledge Portal, the innovations created in the context of EU projects in the Innovation Radar and the software sections of some of our research groups:
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Artificial Intelligence |
Nonlinear Time Series Analysis |
Web Research |
Music Technology |
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Interactive Technologies |
Barcelona MedTech |
Natural Language Processing |
Nonlinear Time Series Analysis |
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UbicaLab |
Wireless Networking |
Educational Technologies |
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