[InetBib] CfP: Mining Scientific Papers - Knowledge Discovery and Data Exploitation

["Mayr-Schlegel, Philipp via InetBib" <inetbib@xxxxxxxxxx>]

Dear colleagues,

Please find the following cfp below.


CALL FOR PAPERS


The research topic “Mining Scientific Papers - Knowledge Discovery and Data 
Exploitation", in the OA journal Frontiers in Research Metrics and Analytics, 
aims at promoting interdisciplinary research in computational linguistics and 
natural language processing (NLP) in the field of bibliometrics/scientometrics 
and information retrieval.

We encourage contributions on theoretical findings, practical methods, 
technologies on the processing of scientific corpora involving full text 
processing, semantic analysis, text mining, citation classification and related 
topics. We also encourage surveys and evaluations of state-of-the-art methods, 
as well as more exploratory papers to identify novel challenges and pave the 
way to future theoretical frameworks.

We also invite papers (e.g. Brief Research Reports, Data Reports, Methods, 
Opinions, Original Research, ...) produced by participants of the recently 
launched COVID-19 Open Research Dataset Challenge (CORD-19) 
<https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge>.

You can find more information here:
<https://www.frontiersin.org/research-topics/13388/mining-scientific-papers-volume-ii-knowledge-discovery-and-data-exploitation>

If you decide to submit a manuscript within our collection, your contribution 
will be peer-reviewed and judged on originality, interest, clarity, relevance, 
correctness, language, and presentation (inter alia) by our editorial board 
members. Publication will be free of charge for a selected set of papers in the 
Research Topic depending on their quality and relevance to the topic.

Final deadline for manuscript submission : June 30, 2021

Editors of the Research Topic:
Iana Atanassova: 
iana.atanassova@xxxxxxxxxxxxxx<mailto:iana.atanassova@xxxxxxxxxxxxxx>
Marc Bertin: marc.bertin@xxxxxxxxxxxxx<mailto:marc.bertin@xxxxxxxxxxxxx>
Philipp Mayr: philipp.mayr@xxxxxxxxx<mailto:philipp.mayr@xxxxxxxxx>



--
Dr. Philipp Mayr
Team Leader Information & Data Retrieval

GESIS - Leibniz Institute for the Social Sciences
Unter Sachsenhausen 6-8,  D-50667 Köln, Germany
Tel: + 49 (0) 221 / 476 94 -533
Email: philipp.mayr@xxxxxxxxx<mailto:philipp.mayr@xxxxxxxxx>
Web: http://www.gesis.org<http://www.gesis.org/>