Are you interested in #NLProc explainability and fairness? Then you’re in luck - the preprint for our #ACL2023 paper is out! arxiv.org/abs/2306.00639 Work done with the lovely @LauraCabelloPi and Anders Søgaard. Summary 🧵
Terne Sasha Thorn Jakobsen
@Ternethorn
NLP researcher / Social Data Scientist / Postdoc at Psychiatric Centre Copenhagen.
Denmark
Joined April 2010
- I am defending my PhD dissertation soon! Come along if you are interested in NLP biases, crowdsourcing, explainability and peer-review 🤸♀️ A zoom link will also become available at some point 🎥🗓️Join us when SODAS PhD student @Ternethorn defends her dissertation titled "Biases in Natural Language Processing" on Friday 31st March 15.30-18.30! 🔎🎓
- Tomorrow I have much to celebrate, I’m presenting our paper on NLP conference peer-review at #NAACL2022 (session 5A, 14:15 PDT) & it’s my birthday! 🥳👵🏻
- 📢 #NLPaperAlert: What Factors Should Paper-Reviewer Assignments Rely On? arxiv.org/abs/2205.01005 with @Ternethorn, to appear at #NAACL2022 TLDR: How should conferences match papers to reviewers, so as to avoid #Reviewer2? #NLProc community says: not with similarity scores!🧵 /1
- Today I presented my very first paper at @_starsem! The paper is about Spurious Correlations in Cross-Topic Argument Mining. Read: aclanthology.org/2021.starsem-1… or watch the presentation: youtu.be/8TVVQW_AuWQ OR watch the 3.48 min (!) easy digest version: youtu.be/IHXOH34yvUE :)
