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Conference object . 2019
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Conference object . 2019
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Novelty, Scope, Quality: On Exploring Artificial Intelligence for Scholarly Communications

descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type 16 Oct 2019Publisher:Zenodo
Authors: Tirthankar Ghosal; Ekbal, Asif; Patton, Robert; Sriparna Saha; Pushpak Bhattacharyya;

doi: 10.5281/zenodo.3518220 , 10.5281/zenodo.3518219

Novelty, Scope, Quality: On Exploring Artificial Intelligence for Scholarly Communications

Abstract

Our attempt to have Artificial Intelligence support in the peer review pipeline. An investigation of three crucial problems: 1. Document-Level Novelty Detection 2. Whether a paper falls into the scope of a journal or not? 3. Can we predict the final decision from the interaction of peer review texts with paper full-text? Exploring the significance of reviews along with the sentiment of reviewers embedded in peer review texts 4. Measuring the pervasiveness of research via citation classification and detection of citation significance.

Best Poster Winner in FORCE 2019 Conference

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selected citations
These citations are derived from selected sources.
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!
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