Re: [SIGARAB] Clarification on Acceptance Criteria for ArabicNLP Conference 2025

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Ahmed Ali

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Sep 3, 2025, 8:48:08 AM (2 days ago) Sep 3
to Ali Al-laith, SIGARAB: Special Interest Group on Arabic Natural Language Processing
Hi Ali,

Thank you for sharing your experience with SIGARAB.

This year, we received a large number of strong submissions, which made the decision process particularly challenging. Each paper and its corresponding reviews were carefully considered and thoroughly checked by the PC chairs, and we made sure to address concerns raised by authors during the process.

Overall, 69% of submissions received soundness and excitement average scores of 3 or higher, which made the evaluation even more difficult. To maintain a high-quality main conference, we had to set an acceptance cutoff. While more than half of the rejected papers had average scores above 3, accepting around 70% of submissions would have inevitably lowered the standard we aimed for.

To make things even more interesting, this year we also encountered AI-generated content, reviews, and even references! All of which required additional effort to detect and handle properly.

We fully recognise that this means some strong papers were not accepted. In fact, I personally had a paper with even higher scores than the one you mentioned that was ultimately rejected. I understand very well how disappointing this outcome can be. Please rest assured that we did our best to calibrate reviews, check review quality, and, in some cases, re-review submissions before reaching final decisions.

We value your contribution and hope you will consider submitting your future work to ArabicNLP.

Ahmed (on behalf of the ArabicNLP PC chairs)


On Wed, Sep 3, 2025 at 12:41 PM Ali Al-laith <allai...@gmail.com> wrote:
Hi all,

I have submitted 2 papers & reviewed 3 for the ArabicNLP2025, but all ended up rejected.
No meta-reviews or PC comments given, so I’m left wondering: what were the acceptance criteria this year? 
Transparency would help authors a lot for next time!

Best,
Ali
author.pngreviewer.png

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