Published October 16, 2019 | Version v1
Poster Open

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

Authors/Creators

  • 1. IIT Patna
  • 2. ORNL

Description

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.

Notes

Best Poster Winner in FORCE 2019 Conference

Files

AI_ScholComm_FORCE2019.pdf

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