I'm lecturing about the "History of NLP" this week. What should I include? Any favorite anecdotes, images, people, methods? Slides, books, papers, or talks for inspiration or grounding?
I've been maintaining a small collection here: www.are.na/maria-antoni...
Just under two weeks to go to apply to join our @copenlu.bsky.social lab as a PhD student or postdoc! ⤵️
#academicjobs #NLProc #XAI #HCI @aicentre.dk
About the PhD: Audits and evaluation of AI systems — and the broader context that AI systems operate in — have become central to conceptualising, quantifying, measuring and understanding the operations, failures, limitations, underlying assumptions, and downstream societal implications of AI systems. Existing AI audit and evaluation efforts are fractured, done in a siloed and ad-hoc manner, and with little deliberation and reflection around conceptual rigour and methodological validity. This PhD is for a candidate that is passionate about exploring what a conceptually cogent, methodologically sound, and well-founded AI evaluation and safety research might look like. This requires grappling with questions such as: What does it mean to represent “ground truth” in proxies, synthetic data, or computational simulation? How do we reliably measure abstract and complex phenomena? What are the epistemological or methodological implications of quantification and measurement approaches we choose to employ? Particularly, what underlying presuppositions, values, or perspectives do they entail? How do we ensure the lived experiences of impacted communities play a critical role in the development and justification of measurement metrics and proxies? Through exploration of these questions, the candidate is expected to engage with core concepts in the philosophy of science, history of science, Black feminist epistemologies, and similar schools of thought to develop an in-depth understanding of existing practices with the aim of applying it to advance shared standards and best practice in AI evaluation. The candidate is expected to integrate empirical (for example, through analysis or evaluation of existing benchmarks) or practical (for example, by executing evaluation of AI systems) components into the overall work.
are you displeased with today’s AI safety evaluation landscape and curious about what greater conceptual clarity, methodological soundness, and rigour in AI evaluation could look like? if so, consider coming to Dublin to pursue a PhD with me
apply here: aial.ie/hiring/phd-a...
pls repost
Oslo University Hospital caught using trans patients' journals for research purposes:
- Without the patients' consent to participate in research
- Affecting minors
- 1700 of them
- Taking highly sensitive information from said journals
This is a HUGE breach.
Its ACL’s rolling review thing, so journal style submission system for conferences or so 😅
Wow submitting to ARR has reached the level of bureaucracy of filing a tax returns claim in Germany.
I’d be curious to see some data on this too! My best giess would be that tt is more common in EN than cc, so if you’re not sure which consonant is double, you pick the more common one in your language
Ah yes, the smell of returning from holiday and finding sb irrevocably deleted my main cloud instance for the project together with all data.
A wine vending machine in Weinviertel, Austria
Wine vending machines are one of the best parts of a holiday in Austria
Not sure how I missed this, but BisectingKMeans is _the shit_. Its fast, produces very crisp clusters for a range of problems, and is implemented in sklearn
Its also my time to feel smart again about my TeXShop & git setup, while I send smug ‘Well-well-I-told-you-so’ stares to my Overleaf co-authors
Still kudos, 2023 was not that bad
Black maki 🥷
1. LLM-generated code tries to run code from online software packages. Which is normal but
2. The packages don’t exist. Which would normally cause an error but
3. Nefarious people have made malware under the package names that LLMs make up most often. So
4. Now the LLM code points to malware.
‘We can do up to 7-grams if we use all our resourced’
One more step and we’ll be doing syntax again
Deadline for applying to SICSS-Edinburgh is coming up soon!
The summer school will run from May 26 – June 6.
Apply now 👉 sicss.io/2025/edinbur...
#SICSS2025 #SICSSEdinburgh
Join us at our upcoming workshop at ICLR, XAI4Science: From Understanding Model Behavior to Discovering New Scientific Knwlg, Apr 27-28
submissions on a-priori (ante-hoc) & a-posteriori (post-hoc) interpretability & self-explainable models for understanding model’s behvr welcm tinyurl.com/3w8sddpm
The 8yr old wanted (and got) a radio (the actual analog AM/FM thing) for Christmas and it is truly amusing to see a child that’s growing up with predominantly digital on-demand media explore radio
One of the longest running and prestigious journals in our field is the Computational Linguistics Journal. It's been around since 70s. It's got a brand new social media account now:
@complingjournal.bsky.social
Latest news about upcoming issues to be there there! #NLProc #CLjournal #NLP
tfw you press delete,delete,enter for 10mins b/c you’re too lazy to write a regex
Anchored Packed Trees 🤪, though your text better not be longer than 2-3 words at a time 😭
Currently at the postscript file format specification stage rabbit hole
They have my vote!
*voting by letter and looking through the candidates on the list (name & bday)*
*spots sb with a bday in 2000*
*looks up*
Huh, they must have just been born, how can they be on the candidate list?!
#ElderMillenial
Boss made a dollar,
Grandad made a dime.
But that was a poem
From a simpler time.
Boss made a thousand,
Gave my Dad a cent.
But that coin paid the mortgage,
Or at least it paid the rent.
Now bosses make a billion,
And give us workers jack.
Then smugly blame society,
For the labor that they lack.
