Text Augmentation for NLP – Kenneth Enevoldsen on Augmenty
Description
#12: Kenneth Enevoldsen joins Arfon and Abby to discuss Augmenty, a python library for text augmentation, balancing contributor-friendliness with maintainability in open source, and which danishes he would eat.
Kenneth is a PhD student at Aarhus University and the maintainer of many open source libraries including Augmenty, MTEB, TextDescriptives, ScandEval and more.
You can follow Kenneth on X @kcenevoldsen, LinkedIn @kennethenevoldsen, and GitHub @kennethenevoldsen.
Episode highlights:
[00:00:48 ] - Discussion on Augmenty and Text Augmentation
[00:02:55 ] - Origins and Development of Augmenty
[00:05:51 ] - Applications and Use Cases of Augmenty
[00:12:20 ] - Community Building and Open Source Contributions
[00:15:41 ] - Maintaining Open Source Projects
[00:20:52 ] - Publishing in JOSS and Final Thoughts
[00:25:32 ] - Conclusion and Outro
Links:
JOSS paper: https://joss.theoj.org/papers/10.21105/joss.06370
Augmenty repository: https://github.com/KennethEnevoldsen/augmenty
DaCy: https://github.com/centre-for-humanities-computing/DaCy
spaCy: https://spacy.io/
Multilingual MTEB Project: https://github.com/embeddings-benchmark/mteb
Kenneth on Twitter/X, LinkedIn, GitHub
The Journal of Open Source Software (Twitter/X, blog)
@arfon on (fosstodon, Linkedin, GitHub, website)
@abbycabs on (Twitter/X, hachyderm, bsky, Linkedin, GitHub, website)
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Supercharge your research with the latest scientific software showcased in the Journal of Open Source Software (JOSS). Hear directly from authors on their work, their motivations, and new ways open source software can accelerate your work.
Hosted by editor-in-chief Arfon Smith and founding editor Abby Cabunoc Mayes, each episode features an interview with different authors of published papers in JOSS. Tune in to learn about the latest developments in research software engineering and open science, and how they are changing the way research is conducted.
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