Connectionists: CIKM 2020 - 1st Call for Resource Paper

[CIKM 2020 Publicity]

* Apologies for cross-posting *

** Call for RESOURCE PAPERS **

In conjunction with

CIKM 2020 (Galway, Ireland - October 19th-23rd, 2020)

https://cikm2020.org/

More info at https://cikm2020.org/call-for-resource-papers/

CIKM recognises the importance of publicly available scientific resources,
such as datasets, evaluation benchmarks, tools or libraries as a necessary
and important prerequisite for fostering research in core CIKM areas.

The Resources Track seeks submissions from both academia and industry that
describe resources available to the community. Resources include, but are
not restricted to, information retrieval test collections, labelled
datasets for machine learning, and software tools and services.  We also
seek papers describing original research on building datasets and resources
for broad use.

An ideal resource track paper will fit into one or more of the following
categories:

   1.

   Describing a new and innovative dataset
   1.

      To support research on novel application domains;
      2.

      To support novel evaluation tasks;
      3.

      Created using novel methods and/or algorithms;
      4.

      Labeled using novel and well-described annotation and/or
      crowdsourcing approaches;
      2.

   Reusable research prototypes and services;
   3.

   Open software frameworks, tools and libraries which support tasks in
   data science, data engineering or information & knowledge management".

Important Dates

Paper abstract submission deadline: June 1, 2020

Paper submission deadline: June 8, 2020

Paper acceptance notification: July 24, 2020

Camera-ready submission deadline: August 14, 2020

Check our sponsorship options <https://cikm2020.org/sponsorship/> for an
opportunity to reach out to the experts in the domain!
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20200211/965a49cd/attachment.html>