Copyright © 2021 for
the individual papers by the papers' authors.
Copyright © 2021 for the volume
as a collection by its editors.
This volume and its papers are published under the
Creative Commons License Attribution 4.0 International
(CC BY 4.0).
Extraction and Evaluation of Knowledge Entities from Scientific Documents 2021
Proceedings of the 2nd Workshop on Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE 2021)
co-located with JCDL 2021
Virtual Event, September 30th, 2021.
* Nanjing University of Science and Technology, China
** GESIS - Leibniz Institute for the Social Sciences, Knowledge Technologies for the Social Sciences, Cologne, Germany
*** Wuhan University, China
**** University of Technology Sydney, Australia
Table of Contents
Session 1: Entity Extraction and Application
Session 2: Keyword Exaction and Applicaiton
Session 3: Knowledge Graph and Application
Session 4: Poster
The correlation between content novelty and scientific impact
Automatic Generation of Research Highlights from Scientific Abstracts
Debarshi Kumar Sanyal,
Plaban Kumar Bhowmick,
Partha Pratim Das
Differential Analysis on Performance of Scientific Collaborations with the Evolution of Entity Popularity
Extraction of Thesis Research Conclusion Sentences in Academic Literature
Topic Evolution Path and Semantic Relationship Discovery Based on Patent Entity Relationship
Bureau for Rapid Annotation Tool: Collaboration can do More over Variety-oriented Annotations
Summary: There were 20 papers submitted for peer-review to this workshop. Out of these,
14 papers were accepted for this volume,
3 as regular papers,
5 as short papers and,
6 as poster.
2021-10-30: submitted by Philipp Mayr,
metadata incl. bibliographic data published under Creative Commons CC0
2021-11-10: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)