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DeLFT and entity-fishing : Tools for CLEF HIPE 2020 Shared Task

Authors: Kristanti, Tanti; Romary, Laurent;

DeLFT and entity-fishing : Tools for CLEF HIPE 2020 Shared Task

Abstract

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.

Country
France
Keywords

Entity recognition, Entity linking, [INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL], Machine learning, [INFO.INFO-DL]Computer Science [cs]/Digital Libraries [cs.DL], Deep learning, [INFO.INFO-DL] Computer Science [cs]/Digital Libraries [cs.DL], [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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