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🕰️ Small but time-aware!

At the " #LLM for for the History, Philosophy, and Sociology of Science workshop" @tuberlin Jochen Büttner presented a compact small language model (39M parameters) that integrates a temporal dimension for historical text analysis.

A proof of concept using historical UK weather reports shows the model successfully reflects both seasonal patterns and linguistic shifts

Wanna try it?
👉 github.com/j-buettner/time_transformer

📜 We've got a new article out 📜

*Angst M, Müller NN, Walker V. Automated extraction of discourse networks from large volumes of media data* (open access)

doi.org/10.1017/nws.2025.4

As part of our sustainability.discourses project, we developed an automated method to gather and track discourse networks around urban sustainable mobility, based on media data.

The article describes the approach in detail and reports an evaluation of the internal validity (do we measure what we ourselves think we measure) of the pipeline.

tl;dnr: Automating discourse network data gathering can work well to capture broader tendencies. In many cases, it is likely not worth investing in automating data gathering to understand discourse however.

Want to see the daily updated pipeline in action? Check out the web apps and resources here: sustainability.discourses.ch/e

Cambridge CoreAutomated extraction of discourse networks from large volumes of media data | Network Science | Cambridge CoreAutomated extraction of discourse networks from large volumes of media data - Volume 13

📰 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.

#DigitalHumanities @tuberlin #classification #NLP

Call for participation: *ClimateCheck* Shared Task ( sdproc.org/2025/climatecheck.h)

@NFDI4DS members Raia Abu Ahmad, Aida Usmanova and Georg Rehm are organizing a shared task “Scientific Fact-Checking of Social Media Claims on Climate Change (ClimateCheck)” on July 31 or August 1st, 2025 in Vienna, Austria, hosted as part of the SDP 2025 Workshop.

Deadline for system submissions: May 16, 2025

#NLP
#LLM
#climatecheck
#socialmediaposts
#climatechange
#misinformation
#SDP2025
#ACL2025
#Vienna
#NFDI4DS

sdproc.org5th Workshop on Scholarly Document Processing4th Workshop on Scholarly Document Processing

Just caught myself using the phrase "#Inform7 source code if Inform 7 was made for MCAD". What in the world happened to #NLP research? It would be so much more useful than what we have now, and wouldn't burn down the planet to make a database query.

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: 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?

techcrunch.com/2025/03/26/open
404media.co/email/5d418149-ed1

Dami Lee: youtu.be/FRnKY-5TqOM

#nlp#genai#chatgpt