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- INRAD United States
- INRAA
- INRIA RENNES - BRETAGNE ATLANTIQUE
- INRIA -(INRIA CENTRE SOPHIA-ANTIPOLIS)
- Université Paris Diderot France
- National Institute for Research in Digital Science and Technology (INRIA), France France
- INRAE France
- INRIX (United Kingdom) United Kingdom
- Inria Grenoble Rhône-Alpes
- INRIA - Rhône-Alpes
- INRA
- Inria
- INRIA
- INIA
- INRIA
- INRIA
- INRIA INRIA
- French Institute for Research in Computer Science and Automation France
- INRAD (United States) United States
- INRIA France
- INRA France
- Inpria (United States) United States
- National Institute for Research in Computer Science and Control France
- Inpria (United States) United States
- INRIA France
- INRIA -(INRIA CENTRE SOPHIA-ANTIPOLIS MEDITERRANNEE)
- INRIA France
- INIA Spain
- INRAT
- INRAE
International audience; This article presents an overview of approaches and results during our participation in the CLEF HIPE 2020 NERC-COARSE-LIT and EL-ONLY tasks for English and French. For these two tasks, we use two systems: 1) DeLFT, a Deep Learning framework for text processing; 2) entity-fishing, generic named entity recognition and disambiguation service deployed in the technical framework of INRIA.
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