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[PRE REVIEW]: Augmenty: A Python Library for Structured Text Augmentation #6134
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Five most similar historical JOSS papers: Augmentor: An Image Augmentation Library for Machine Learning Jabberwocky: an ontology-aware toolkit for manipulating text textnets: A Python package for text analysis with networks Adeft: Acromine-based Disambiguation of Entities from Text with applications to the biomedical literature Ipyannotator: the infinitely hackable annotation framework |
@KennethEnevoldsen - thanks for your submission to JOSS. We're currently managing a large backlog of submissions and the editor most appropriate for your area is already rather busy. For now, we will need to waitlist this paper and process it as the queue reduces. Thanks for your patience! |
Totally understandable. Let me know if I can help out with the backlog - I should be signed up as a reviewer. |
@editorialbot assign me as editor |
Assigned! @arfon is now the editor |
👋 @KennethEnevoldsen – I'll be the editor for this submission. If you know of any people who might be able to give a good review of this submission, please let me know here. I shall also start looking for reviewers. |
Here is 5 people from the reviewer list. Generally, I would go for people with an NLP/Python background. Augmentation is not as popular in NLP as in computer vision so at least one reviewer with experience in CV might be ideal, though not required (as they most likely also will have some experience in augmentation). |
👋 @dmnapolitano @harishsiravuri @jinhangjiang @Gigi1111 would any of you be willing to review this submission for JOSS? The submission under consideration is Augmenty: A Python Library for Structured Text Augmentation The review process at JOSS is unique: it takes place in a GitHub issue, is open, and author-reviewer-editor conversations are encouraged. You can learn more about the process in these guidelines: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html Based on your experience, we think you might be able to provide a great review of this submission. Please let me know if you think you can help us out! Many thanks |
@sap218 @wdduncan @balhoff @jhagerer – 👋 would any of you be willing to review this submission for JOSS? The submission under consideration is Augmenty: A Python Library for Structured Text Augmentation The review process at JOSS is unique: it takes place in a GitHub issue, is open, and author-reviewer-editor conversations are encouraged. You can learn more about the process in these guidelines: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html Based on your experience, we think you might be able to provide a great review of this submission. Please let me know if you think you can help us out! Many thanks |
Hi @arfon 👋 Happy to review this submission! |
@editorialbot add @sap218 as reviewer @sap218 – excellent, thank you! If it's OK with you, I'll wait another few days before opening the review in the hope we can find a second reviewer by then. Thanks for your patience! |
@sap218 added to the reviewers list! |
I'm not an NLP expert, but I know a little. So, if you are looking for an expert (or someone with a lot of NLP experience), I would not be a good choice. Otherwise, I am willing to review. |
@wdduncan – thanks for your offer of help. I'm struggling to find additional reviewers so would like to take you up on your kind offer here! |
@editorialbot add @wdduncan as reviewer |
@wdduncan added to the reviewers list! |
@editorialbot start review |
OK, I've started the review over in #6370. |
@sap218, @wdduncan, @KennethEnevoldsen – see you over in #6370 where the review will take place. |
Submitting author: @KennethEnevoldsen (Kenneth C. Enevoldsen)
Repository: https://github.com/KennethEnevoldsen/augmenty
Branch with paper.md (empty if default branch):
Version: 1.4.2
Editor: @arfon
Reviewers: @sap218, @wdduncan
Managing EiC: Arfon Smith
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