FIRE 2020 - Authorship Identification of SOurce COde (AI-SOCO) Forum

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> AI-SOCO Working Notes Paper Guidelines

Dear AI-SOCO participants,

Thanks to the teams that sent us their approach paragraph description, and we encourage others to send it to us as soon as possible.

About the working notes papers, they should follow the following guidelines:
- Submissions must describe substantial, original and unpublished work. Wherever appropriate, concrete evaluation and analysis must be included. If the paper being submitted is under review at any other venue, the same should be explicitly mentioned when making the submission. Such papers, if accepted, should be withdrawn from all other places.
- All submissions should be in Single column CEUR format. Authors should use one of the CEUR Templates below:
- Overleaf Template: https://www.overleaf.com/read/gwhxnqcghhdt.
- Word and Latex Template: http://ceur-ws.org/Vol-XXX/CEURART.zip.
- There is no page limit for submissions, but should be more than 4 pages.
- We will NOT be allowing multiple working notes from the same set of authors.
- Each paper should have a copyright clause included in the paper (See the"Author agreement variants" at http://ceur-ws.org/HOWTOSUBMIT.html).
- Each author should also submit a copyright agreement signed by the authors. (Partially filled agreement will be shared shortly).
- Check the papers for text reuse/Plagiarism. This includes self-plagiarism as well. Any paper found to have plagiarized content will be rejected without further consideration.
- Author names should not have any salutations like Dr., Prof., etc.
- The papers should be sent to "aliosm1997@gmail.com" in PDF format.

Upon acceptance, authors will be allowed 1 additional page of content in order to incorporate suggestions from the reviewers. The deadline is the 5th of October.

Also, don't forget to cite our overview paper please using the following BibTeX:

@inproceedings{ai-soco-2020-fire,
title = "Overview of the {PAN@FIRE} 2020 Task on {Authorship Identification of SOurce COde (AI-SOCO)}",
author = "Fadel, Ali and Musleh, Husam and Tuffaha, Ibraheem and Al-Ayyoub, Mahmoud and Jararweh, Yaser and Benkhelifa, Elhadj and Rosso, Paolo",
booktitle = "Proceedings of The 12th meeting of the Forum for Information Retrieval Evaluation (FIRE 2020)",
year = "2020"
}

Finally, the results are available on the task’s website now from: https://sites.google.com/view/ai-soco-2020/results.

Best Regards,
AI-SOCO Organizers

Posted by: aliosm @ Sept. 24, 2020, 6:03 a.m.
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