Isabelle Augenstein
@IAugenstein
Full Professor @CopeNLU @uni_copenhagen Formerly @ucl_nlp, @SheffieldNLP. Explainable AI, Natural Language Processing, ML.
ID:507704346
http://isabelleaugenstein.github.io/ 28-02-2012 18:02:31
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If you are interested in complex reasoning and knowledge graphs and are at #NeurIPS2023 , please come to the Great Hall & Hall B1+B2 (level 1) to poster #2027 (or reach out here :) )
The amazing Daniel Daza and Michael Cochez will tell you what magic we prepared. 🪄🪄
Bam! 😍😍 One of my fav papers from this year's NeurIPS (arxiv.org/abs/2305.15944) mentions our work on learning to calibrate neural link predictors (arxiv.org/abs/2301.12313, also NeurIPS) by back-propagating through the solution search process! Thanks Lorenzo Loconte antonio vergari 💥 hiring PhD students & postdoc💥!❤️
Happening now! Presentation of our #emnlp2023 paper on transparent multilingual stance detection for content moderation on Wikipedia: arxiv.org/abs/2310.05779
#NLProc Lucie-Aimée Kaffee Arnav Arora @ EMNLP CopeNLU
Interested in content moderation, policies, Wikipedia? Join us for our paper presentation 'Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions' at #EMNLP2023 tomorrow (10.) at 9:15 SGT Central 1 w/ Arnav Arora @ EMNLP Isabelle Augenstein
Group photo time! Former+current+future CopeNLU members EMNLP 2023
#emnlp2023 #NLProc
Arnav Arora @ EMNLP sagnik ray choudhury Indira Sen Lucie-Aimée Kaffee @ EMNLP2023 Klim Zaporojets Nadav Borenstein Mike Zhang (on the (academic) job market) Anna Rogers 🇺🇦🇪🇺 @ EMNLP Amalie Brogaard Pauli Lovisa Hagström Zeerak@{mastodon,bsky}.social Isabelle Augenstein
About to start now #emnlp2023 — come join us in room East if you’re interested in hearing about a new way of framing explanation for pairwise #NLProc tasks like #factchecking and NLI.
Paper: arxiv.org/abs/2310.13506
sagnik ray choudhury Pepa Atanasova
Thanks everyone who passed by our poster today, so many inspiring discussions and exciting input to our work. Find the #EMNLP2023 findings paper on “Thorny Roses: Investigating the Dual Use Dilemma in NLP” here: arxiv.org/abs/2304.08315 or meet us at the virtual poster session!
Really enjoyed attending the #emnlp2023 Big Picture workshop, which introduced a presentation format where two presenters would jointly present (their contribution to) answering a research within #NLProc
Here’s a summary by Sebastian Ruder; slides will be up on bigpictureworkshop.com
Congratulations to Pepa Atanasova Pepa Atanasova from the University of Copenhagen & Robert Geirhos from the University of Tübingen! 🎉 They receive the ELLIS PhD Award 2023 for their exceptional dissertations in modern #AI !
#machinelearning #phd #award ellis.eu/news/the-ellis…
I am deeply humbled to receive an ELLIS PhD Award! My PhD journey was a unique and special experience that would not have been the same without the unwavering support of my supervisors, Isabelle Augenstein , Jakob Grue Simonsen, and Christina Lioma from DIKU - Department of Computer Science, UCPH! #XAI
Don't miss sagnik ray choudhury 's oral talk on our paper 'Explaining Interactions Between Text Spans' 👇. Room East, Session: Interpretability, Interactivity, and Analysis of Models for NLP 2, 11.30 #EMNLP2023
We're happy to be presenting 5 papers at #EMNLP2023 , on topics ranging from explainability to language modelling. Come talk to us there ☺️ sagnik ray choudhury Lucie-Aimée Kaffee Arnav Arora @ EMNLP Nadav Borenstein Indira Sen Isabelle Augenstein #NLProc
copenlu.com/talk/2023_12_e…
In PHD: Pixel-Based Language Modeling of Historical Documents with Nadav Borenstein Phillip Rust and Isabelle Augenstein, we apply pixel language models to processing historical document and to more standard NLP classification tasks too. See it in Poster Session 6 on Sunday 10th.