MS2018-03: Automatic Text Summarization from Grant Applications

posted Mar 23, 2018, 2:06 AM by Marco Spruit   [ updated May 18, 2018, 1:22 AM ]
  • Full title: Automatic Text Summarization of Research Data Management Strategies from Grant Applications With Natural Language Processing (NLP) and Deep Learning (DL) approaches 
  • Focus: Data science applied to research grants 
  • Type of research: simulation, experiment, design science, text mining, information retrieval
  • Collaboration: This project conducted in collaboration with IDFUSE (http://idfuse.nl/ ), it is not an internship but a full-time research project at the UU. The collaboration with IDFUSE fosters exchange of data (i.e. real research grant applications from researchers) and knowledge (effective NPL/DL approaches). IDFUSE developed an IT application to help researchers improve the impact of their proposal by evaluating specific aspects of the knowledge utilization paragraphs (see https://impacter.eu/). In this project, similar analyzes will be extended to data management paragraphs
See the attached text for more info.

--Armel and Marco
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master thesis data management paragraphs.pdf
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Marco Spruit,
Mar 23, 2018, 2:06 AM
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