
Bertie Vidgen
@bertievidgen
Data @ Contextual AI
ID: 100974895
https://www.linkedin.com/in/bertie-vidgen-001/ 01-01-2010 13:24:47
917 Tweet
865 Takipçi
520 Takip Edilen



We are glad to announce the first SemEval shared task targeting African languages, AfriSenti-SemEval, Task 12. The shared task includes different prizes. Competition: codalab.lisn.upsaclay.fr/competitions/7… AfriSenti: afrisenti-semeval.github.io AfriSenti SemEval-2023 Shared Task 12 Ethio NLP EMNLP 2025


What a privilege to moderate the 🇬🇧 -Bavarian online harms symposium at #MTM22 Thanks to Ian Stevenson & Bertie Vidgen for highlighting the work of 🇬🇧 world-class safety tech sector and discussing future UK–Bavarian collaboration with Dr Thorsten Schmiege BLM & Jana Heigl



New #EMNLP2022 paper! Do you research online harms, misinformation or negative biases? Could your datasets contain examples of harmful text? 🤔 If yes, read our paper! 🫵arxiv.org/abs/2204.14256 Shoutout to my brilliant co-authors: Abeba Birhane, Leon Derczynski ✍🏻 🌞🏠🌲 & Bertie Vidgen A 🧵


We are launching out of stealth today with a $3M seed round led by Lightspeed, with participation from Amjad Masad, Gokul Rajaram, Matt Hartman and other fortune 500 execs and board members 🚀 Read our story here: patronus.ai/blog/patronus-…





Without evaluation you have no idea what your model is doing. But using LM-as-a-judge isn't great and human annotators are expensive and noisy. LMUnit solves this tradeoff to scalably, reliably, and explainably eval your model. A lot of fun to work on this at Contextual AI





