2 jobs in our group at Tilburg University: "Postdoctoral researcher in AI: Learning from Sparse Examples" #NLP postdoc https://tiu.nu/22749 AND #computervision postdoc https://tiu.nu/22748 #postdoc #academicjobs #netherlands #TilburgU
2 jobs in our group at Tilburg University: "Postdoctoral researcher in AI: Learning from Sparse Examples" #NLP postdoc https://tiu.nu/22749 AND #computervision postdoc https://tiu.nu/22748 #postdoc #academicjobs #netherlands #TilburgU
We welcome applicants from all backgrounds and nationalities.
Application deadline: May 25th, 2025.
After that, the position will remain open until filled. We will consider applications as soon as they are submitted.
(4/4)
I don't know exactly how to search for this tool so I'm looking for leads on the tool and/or search terms (so I don't have to make it myself):
I'll often read a #NLP #NLProc paper and they provide a few metrics (e.g. Precision/Recall) but not the same metrics (e.g., Specificity/Sensitivity) as that other paper on the same topic that I'm reading. Then I need to figure out if I can estimate the True Positive, False Positive, etc. counts from the provided metrics to generate the other paper metrics for direct comparison.
When I'm really invested, I'll set up a spreadsheet to let me twiddle the TP/FP counts to try to keep the reported measures fixed to see how much range there is for the unreported measures.
Is there an easier way to do this? Let's say I have Sensitivity, Specificity, PPV, NPV, and the rough estimate of the total count of notes. Is there a shiny dashboard or website that I can plug those numbers in to get an estimate on the range of possible precision scores with those constraints?
@ancientsounds @linguistics Thanks, but I'm more looking for #NLP tools like for example, looks like #Spacy supports #Finnish https://spacy.io/usage/models but not #Turkish
Anyone work on #NLP for #agglutinative or #polysynthetic languages? What tools do you recommend? I'm curious to explore NLP for polysynthetic languages like #Greenlandic #Inuktitut #CentralAlaskanYupik but figure there's more out there for something like #Turkish or #Finnish that I could use for inspiration. #Linguistics #NLU #NaturalLanguageProcessing #LLM #AI @linguistics
Last Week in AI #307 - GPT 4.1, o3, o4-mini, Gemini 2.5 Flash, Veo 2
https://lastweekin.ai/p/last-week-in-ai-307-gpt-41-o3-o4
CFP deadline: May 30, 2025
Digital Turn. Collections – Provenance – Markets (HU Berlin, Nov 27–28, 2025) explores how #BigData, #AI & digital tools are reshaping collection, provenance & art market research.
https://arthist.net/archive/47275
#DigitalHumanities #ProvenanceResearch #ArtMarket #GLAM #DataScience #MuseumStudies #NLP #LinkedData
Und dann sind da ja noch unsere Angebote für Studierende aller Fächer - Kurse zu #Python, #XML und #NLP, von Studierenden organisierte Guest Lectures zu Forschenden hinter den Stereotypen, #Informationskompetenz und #Dataliteracy, eine Vorlesung zur #Wissenschaftsreflexion... Anmelden geht auch in der nächsten Woche noch! https://stg.uni-mainz.de/
Update. In the fields of #NLP and #LIS, "papers with different #gender compositions achieve varying numbers of citations, with mixed-gender collaborations gradually obtaining higher average citation counts compared to same-gender collaborations."
https://doi.org/10.1016/j.joi.2025.101662
Tbh, #Apple's location service can be used without big issues. #GrapheneOS does so, the data can be easily scraped.
But as a #BeaconDB contributor, I am of course happy to hear this!
There are a ton of people collecting data, it is pretty insane!
Tracing Chemical Knowledge Over Centuries with #LLMs
Diego Alves, Sergei Bagdasarov & Badr M. Abdullah prompted models to generate structured metadata for 47k+ texts from the #RoyalSociety Corpus (1665–1996), enabling large-scale comparison of #Chemistry and #Biology over time.
They tracked how chemical substances migrated between disciplines revealing a "chemicalization" of biology in the 19th century and a long-term trend toward standardization. #OpenScience #DiachronicAnalysis #NLP
Classifying Genre in Historical Medical Periodicals
Next in line: Vera Danilova presents her work on genre classification in digitized periodicals from European patient organizations (1951–1990) using #LLMs as part of the #ActDisease project.
XLM-RoBERTa (UDM) led Q&A tasks with 32% more correct answers than mBERT/hmBERT.
hmBERT (UDM) topped Administrative classification (+16%)
CORE-based models excelled in legal genre prediction.
On Tuesday, I gave a lecture on harms of AI and NLP. Turns out, the ChatGPT update the same day started a viral wave of Ghibli style image gen.
Worth seeing Miyazaki's response if you haven't. It is absolutely brutal: https://youtu.be/ngZ0K3lWKRc
We discussed: Can generative models be used to make art? What is the role of intent? Why are we using gen AI models and should we?
https://techcrunch.com/2025/03/26/openais-viral-studio-ghibli-moment-highlights-ai-copyright-concerns/
https://www.404media.co/email/5d418149-ed10-42f3-b535-c74d61ed5b6c/
Dami Lee: https://youtu.be/FRnKY-5TqOM
Greetings from the FIZ Karlsruhe Research Retreat at Königstuhl, above the city of Heidelberg. I had the pleasure to introduce and conduct a Design Thinking session together with 40 brilliant colleagues to work on how to improve our research
@fiz_karlsruhe @fizise @zbMATH @tabea @GenAsefa @heikef @enorouzi @sourisnumerique #semanticweb #knowledgegraphs #AI #llms #nlp #innovation #designthinking
An extra-fun Acuitas update for March, as I go back to work on game-playing. I'm trying to set him up to play a text version of a favorite game that helped *me* learn how to think. https://writerofminds.blogspot.com/2025/03/acuitas-diary-82-march-2025.html
#AI #ArtificialIntelligence #chatbots #NLP
** MCP: DAS ENDE DER KI-HALLUZINATIONEN?
**
Ist das Model Context Protocol (MCP) wirklich der Game-Changer, auf den wir gewartet haben? Ein neuer Ansatz, der KI-Halluzinationen minimieren soll – klingt fast zu gut, um wahr zu sein!
#ai #ki #artificialintelligence #NLP #MachineLearning #LLM #DeepLearning
KANN ChatGPT FÜHLEN?
ChatGPT und Emotionen – ein Widerspruch? Der Artikel beleuchtet, wie KI versucht, menschliche Gefühle zu imitieren. Aber sind das wirklich Emotionen oder nur ausgeklügelte Algorithmen?
Meine Meinung: ChatGPT kann Empathie vortäuschen, aber echte emotionale Intelligenz ist etwas anderes.
Was denkt ihr? Können Maschinen wirklich fühlen? Teilt eure Gedanken in den Kommentaren!
#ai #ki #chatgpt #emotionen #nlp #zukunftderki #menschmaschine