The main concept of the project EuroSentiment was to provide a shared language resource pool for fostering sentiment analysis. To this end, a detailed collection of requirements of language resource providers and users was performed with the aim of satisfying their needs in terms of multilingual, quality and domain coverage. Interoperability was achieved by cleaning, aligning, and integrating various resources, resulting in the establishment of a seamless and homogeneous interface.
Cosa chiedono davvero gli italiani all’intelligenza artificiale?
FBK in collaborazione con RiTA lancia un’indagine aperta a tutte/i per capire usi reali, abitudini e bisogni.
Bastano 10 minuti per partecipare, scopri di più: https://magazine.fbk.eu/it/news/italiani-e-ia-cosa-chiediamo-veramente-allintelligenza-artificiale/
🚀 Last call for the Model Compression for Machine Translation task at #WMT2025 (co-located with #EMNLP2025)!
Test data out on June 19 ➡️ 2 weeks for evaluation!
Can you shrink an LLM and keep translation quality high?
👉 https://www2.statmt.org/wmt25/model-compression.html #NLP #ML #LLM #ModelCompression
Our pick of the week by @beomseok_lee_: "ALAS: Measuring Latent Speech-Text Alignment For Spoken Language Understanding In Multimodal LLMs" by Pooneh Mousavi, @yingzhi_wang, @mirco_ravanelli, and @CemSubakan (2025)
#SLU #speech #multimodal #LLM
Speech-language models show promise in multimodal tasks—but how well are speech & text actually aligned? 🤔
This paper https://arxiv.org/abs/2505.19937 proposes a new metric to measure layer-wise correlation between the two, with a focus on SLU tasks. 🔍🗣️📄
🔍 Ciao! Stiamo studiando come l'AI viene usata in Italia e per farlo abbiamo costruito un sondaggio!
👉https://bocconi.eu.qualtrics.com/jfe/form/SV_2nTelXaXvJlinbg (è anonimo, dura ~10 m, se partecipi o lo diffondi ci aiuti un sacco🙏)
Ci interessa anche raggiungere persone che non si occupano di AI!