islab-unimi

ISLab is the research group on databases and knowledge management of the Department of Computer Science at the Università degli Studi di Milano

[islab-unimi @IslabUnimi]

Tales from the ISLab is now online! Check out the latest articles on our new blog: https://t.co/UKOvRvVA3p

Once upon a time… #talesfromtheISLab

[islab-unimi @IslabUnimi]

Un invito a ponderare rischi e opportunità e trarre il meglio dalla rivoluzione #IA in corso, portando un reportage della #MilanoDigitalWeek legandolo a ciò che facciamo quotidianamente. Un grazie speciale agli organizzatori di tutti gli eventi citati!
https://t.co/0LX29A0uce

[Francesco Periti @PeritiFrancesco]

Our survey paper on modeling #SemanticChange using #LLMs has officially been accepted by #ACM Computing Surveys! It was a challenging journey! Huge thanks to my @IslabUnimi co-author/supervisor, and everyone who supported me. Happy reading!
https://t.co/ugPFcB0aRO
#NLP

[Francesco Periti @PeritiFrancesco]

Our latest preprint is now available at https://t.co/fB529ZLpv9. We propose a replacement schema to simulate different semantic changes and use it to analyze semantic change through the lens of 𝐋𝐚𝐫𝐠𝐞 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥𝐬 such as BERT, mBERT, XLM-R, and LLaMa 2. #NLP

[islab-unimi @IslabUnimi]

🎉 We are excited to share that our latest research has been accepted at LT4HALA @LrecColing!
📃 Check out the pre-print here: https://t.co/pDYYM4MbKB

👋 See you there on May 25th!

[Francesco Periti @PeritiFrancesco]

Excited to share that our paper has been accepted to the main NAACL conference! 🎉 Check out the preprint here: https://t.co/5dQ4aayXxk

#NAACL2024 #NLP #LSC #SemanticChange

[islab-unimi @IslabUnimi]

Have you ever wondered what tools like ChatGPT have changed in the realm of AI research? Spoiler: it has been a massive shock for many! We talk about it in our first blog post in Italian.

https://t.co/gitJOjn10o

[VAST @projectVAST]

🎬 It's a wrap! @projectVAST partners at final project review in Brussels, which concluded with great success! For the past 3 years, we worked meticulously on #values #digitisation #culturalheritage and development of tools. Expressing gratitude to partners for their hard work!

[Francesco Periti @PeritiFrancesco]

Excited to announce our latest research: A systematic comparison of contextualized word embeddings for modeling Lexical Semantic Change.

Check out our paper: https://t.co/kVxQ4Dz7nY

#WordinContext #WordSenseInduction #LexicalSemanticChange #ContextualizedEmbeddings #GPT4 #LSC

[VAST @projectVAST]

.@projectVAST runs an experimental activity, involving 8 primary school classes from “Scuola Primaria Morosini” in Milan, involving 160+ children focusing on “Little Red Riding Hood” #fairytale designed by teachers with support from @LaStatale VAST team!
https://t.co/9ZCHEssiUl

[islab-unimi @IslabUnimi]

Hi all! We have just published a new PyPI package called ✨relearn✨.
It's a starter kit for Reinforcement Learning projects, and we have been using it for studying algorithms from Sutton and Barto.
- GitHub: https://t.co/gZKlqXrtk5
- PyPI: https://t.co/2rCjjjD8Zc

[islab-unimi @IslabUnimi]

@sednolimodo @mapto We confirmed that MacBERTh was best able to represent Early Modern English texts. Unsurprising, as MacBERTh it is the only one that includes #EEBO, the major corpus representing the era, in its training set. Yet, this serves as a validation of the method of comparison.

[islab-unimi @IslabUnimi]

@sednolimodo @mapto By marking sample phrases and vocabulary as modern, historical or neutral, we were able to compare what historical tendencies models represent. We compared #MacBERTh, BERT-based English #HistoricLanguageModel and BERT base.

[islab-unimi @IslabUnimi]

Happy to share a pre-print examining how well #BERT-based models can represent #EarlyModernEnglish text. We used a previously-used bias-detection approach to compare the ability of models to predict language variants from the past
https://t.co/w2YbrqCa2T
@sednolimodo @mapto

[islab-unimi @IslabUnimi]

Within the @projectVAST, we have developed and interactive book. In it #LittleRedCap, we engage children with questions to both encourage them to think critically of the classical tale, but also to get an aggregated view of how it is perceived today
https://t.co/VL8iYV5Uk1

[Francesco Periti @PeritiFrancesco]

We recently proposed an 𝘪𝘯𝘤𝘳𝘦𝘮𝘦𝘯𝘵𝘢𝘭 extension of Affinity Propagation based on Cluster Consolidation and Stratification. While waiting for an official publication, check out our arXiv preprint: https://t.co/AQKk5HVpXN #clustering

[Francesco Periti @PeritiFrancesco]

Is ChatGPT the ultimate solution for modeling Semantic Change? Check this: https://t.co/IzHFDM69MW
We show that: when used as an off-the-shelf model, with a reasonable prompt from a human perspective, the current (Chat)GPT doesn't outperform pre-trained BERT #ChatGPT #BERT #LSC

[Francesco Periti @PeritiFrancesco]

I am very happy to announce that we got a paper accepted at Findings of EACL 2024 in Malta! Stay tuned for more details. Looking forward to seeing you there! https://t.co/lSFkiphhE3
Don't forget to attend our tutorial on Modeling lexical semantic change! https://t.co/UUt2E6NcQG

[Francesco Periti @PeritiFrancesco]

Excited to share insights on Computational Modeling of Semantic Change at the LOT Winter School in Tilburg! Check out our yesterday's session 👇
https://t.co/kGhsKgGSJy

Today, more insights from the CIK team. Tomorrow, hands-on sections!
https://t.co/HS85Ytk0g4

[Francesco Periti @PeritiFrancesco]

Today I held a talk at the University of Gothenburg about my research with the #ChangeIsKey and #ISLab team. Check out my slides and references to learn more!

Title:
Studying Word Meaning Evolution: Incremental Lexical Semantic Detection

Slides: https://t.co/XoD6ao0Gls

[ACL 2026 @aclmeeting]

EACL 2024 (1/3) @eaclmeeting
- Computational modeling of semantic change. Pierluigi Cassotti, Francesco Periti, Stefano De Pascale, Haim Dubossarsky and Nina Tahmasebi.
- Language + Molecules. Carl Edwards, Qingyun Wang and Heng Ji. #NLProc