The consortium studies, designs, and implements innovative methodologies for KM based on the use of IE. From the scientific point of view, we focus on two aspects that are symmetric: how the use in KM poses requirements and challenges to IE and how the use of IE changes KM. From the practical point of view, we define tools and methodologies for IE-based KM.
More great news! 🎉
Our paper “Echoes of Phonetics: Unveiling Relevant Acoustic Cues for ASR via Feature Attribution” was accepted at #Interspeech2025!
Interested in interpretability for speech models? Preprint coming soon!
✍🏼 @mgaido91, @negri_teo, M.Cettolo, @luisabentivogli
Our pick of the week by @BeatriceSavoldi: "Lost in Translation: Artificial Intelligence and the Demand for Foreign Language Skills" by @pmllanos and @carlbfrey (2025)
#AI #translation #MT
Super interesting preprint on the relation between MT improvements and the demand for foreign language skills #pickoftheweek @fbk_mt 📚https://www.oxfordmartin.ox.ac.uk/publications/lost-in-translation-artificial-intelligence-and-the-demand-for-foreign-language-skills
SHADES: a global dataset to uncover AI bias
Over 50 researchers, 16 languages, thousands of interactions analysed: the international SHADES project investigates how generative language models (LLM) reproduce and amplify cultural stereotypes
◾https://magazine.fbk.eu/en/news/shades-the-new-global-dataset-to-monitor-as-ai-reproduces-and-invents-cultural-stereotypes/
🎉 Excited to share our paper “Different Speech Translation Models Encode and Translate Speaker Gender Differently” was accepted at #ACL2025 (main)!
✍🏼 Big thanks to amazing co-authors: @mgaido91, @negri_teo, @luisabentivogli, @andre_t_martins, @peppeatta!
📄 Preprint out soon!