Delighted to be back in Digital Humanities, working on NLP & Knowledge Extraction—continuing the journey from León to Bologna 😊
I feel very lucky to join the amazing UniBo team on the European Infinity project: https://t.co/HI027kmOhM
#PostDoc#DH#NLP#KG
👋Ndeye-Emilie Mbengue et Guillaume Méroué, doctorants sous la direction de Pierre Monnin pour ces Best Paper à #ESWC2026
Toutes nos félicitations !
@CNRS_DR20
In the latest issue of our newsletter:
* "Wikilambda the ultimate: the Wikimedia foundation’s search for the perfect language" (with Wikifunctions/Abstract Wikipedia)
And other recent research publications involving Wikidata and Wikipedia
https://t.co/qPKXQR4hgo
The upcoming talk: Learning Pattern-Based Extractors from Natural Language and Knowledge Graphs — Applying Language Models to Wikipedia and Linked Open Data
Célian Ringwald, University of Bologna
May 28, 2026, at 12:30 (Paris time)
Information: https://t.co/VgIJ5z4x0X
@piermonn
🔴Gallicagram v2, nous voici !🔴
Nouvelle interface en react vachement plus stable et rapide, nouveaux corpus, recherche contextuelle, comparaisons inter-corpus, filtre rubrique, bilingue, infinite scrolling... on vous explique tout !
https://t.co/2GL14goSZX
My PhD thesis is almost finished, so I wrote an article on Medium to explain it in simple terms. "Once upon a time, there was a Kastor 🦫 (semantic beaver) in the forest of Wikipedia knowledge..."
https://t.co/7ZhbG6S4Gw
#SLM#KG#RelationExtraction#SHACL#NLP#SemanticWeb
We're happy to share our latest research accepted at #KCAP2025:
“Overcoming the Generalization Limits of SLM Finetuning for Shape-Based Extraction of Datatype and Object Properties”
📄https://t.co/e8czkDEVmr
👨💻 https://t.co/yMyzlJCVJh
-Echos from the room of text, triples & constraints- Really excited to visit the KCL Knowledge Graphs Lab over the next two weeks! A stay that sounds like a hyperbolic time chamber, to discuss and join forces on LLM/Constraints RQs, before writing the last pages of my PhD
@Dorialexander Amazing 🤩 i also tested some other constraints from https://t.co/Im1hx4cJVh. Which is already a pretty benchmark waiting for crazy scientists to find evaluation methods that scale :p
LLM & Linked Data by Fabien Gandon, Inria @W3C AC 2025 member meeting. He highlighted how Linked Data standards enable knowledge extraction, sharing, and machine learning across domains like robotics, culture, medicine, and chemistry.
https://t.co/A7yrAQzifw
#ESWC2025 kicks off! Join us in the next days for two sessions on LLM-driven ontology generation:
🔹 ELMKE workshop: Assessing LLMs to generate domain ontologies https://t.co/Rx5LxfUQaC
🔹 Research track: Ontology generation with LLMs https://t.co/JYAYNvGoBo
@eswc_conf
I am looking forward #ESWC2025 in Portorož next week !
The occasion to present our last work: Kastor
- 🦫 A framework that includes Human-in-the-loop and combines #KG and #SLMs to produce #RDF and shape-based relation extractors.
> Author version: https://t.co/B2QUZfTsYk
@debayan woo ! i didn’t realized that it was really possible and acceptable to do it: https://t.co/plLIrcPmWm in this talk the sankana team are proposing to create ia generated paper track, maybe a better idea than bothering reviewers in regular tracks