A pre-doc position is available at the Data Science Research Unit of the @tu_wien in Vienna, Austria. Areas of Information Retrieval, Natural Language Processing, or Recommender Systems, with an emphasis on transparency, fairness, or reproducibility. https://t.co/7Xj641HCw3
Our paper on Offensive text detection across languages and datasets using rule-based and hybrid methods, presented by Kinga Gémes at AIMLAI at @cikm2022 , has just been published in the workshop's proceedings, read it here: https://t.co/pdgFwoGMCD
🛎 Attention scientific conference organisers:
It is not acceptable in this day and age not to organise your face to face events as hybrid.
I’ll tell you why 🧵
In our newly established Christian Doppler Lab for Recommender Systems @tu_wien in Vienna, we are offering a full-time PhD position in the area of group recommender systems/fashion recommenders. Please find all details here: https://t.co/VmpENzEvjy #recsys#cdl
Ready for discussions of #ethNLP and ethics review at NLP/ML etc conferences? Don't forget your bingo card! (With @KarnFort1 on the TGV from Perpignan to Paris).
Today's approach to "AI" R&D:
1) Pump out lots and lots and lots of papers.
2) Progress is so fast! Look how many papers there are on arXiv.
3) Sorry, no time to create meaningful evaluation. Gotta keep up with arXiv!
4) See, look at those big numbers. That's SUPERHUMAN!
I was planning on sending a paper to @emnlpmeeting, but apparently it’s illegal for me to go to the UAE so that’s off the table.
So much for a “culture that embraces diversity while emphasizing mutual tolerance and privacy”
https://t.co/y23ePRj2pD
Our article "Explainable lexical entailment with semantic graphs" has been published in Natural Language Engineering, under Open Access: https://t.co/O7I72bcMJD
Congrats to @adaamko and all co-authors!
📢 tech & ethics folks: I've collected 🧵 of pointers to official statements and discussions on what the big tech has done/should do for 🇺🇦 war. Again, this is not just about 🇺🇦: what we do now sets precedent for the future. Comments, updates & corrections welcome!
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@AngloPeranakan Summarizing, @AngloPeranakan pointed out that knowing how to tune a model to get a good score on some data set is not the same thing as knowing how to understand the model, the data, where the data came from, and what effect the model will have when applied in the world.
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@adaamko presented the POTATO tool at our first seminar of 2022.
Video: https://t.co/VpNlqmoQrF
Slides: https://t.co/eDqlBu0YS6
Tool: https://t.co/W9ePII4T42
Paper: https://t.co/xVzmu2sNNM
Liebe Frauen, falls ihr jemals an euch und euren Talenten zweifelt und glaubt, dass ihr einem Job oder einer Aufgabe nicht gewachsen seid: Schaut euch an, wie mittelmäßige Männer dieses Land regieren und untereinander Jobs tauschen als wären es Spielkarten. Ihr könnt alles.
Happy that our full paper „PARM: A Paragraph Aggregation Retrieval Model for Dense Document-to-Document Retrieval“ got accepted at #ecir2022@ecir2022 together with @s_hofstaetter@suzan and @allanhanbury 🙌🏼 Paper and Code will be released soon!
If you work at the intersection of digital technologies and the humanities, apply for our new fellowship program on "Digital Humanism"!
The Deadline for Applications is 30 November, 2021.
https://t.co/rrNnnCPIk8