There are two interleaved high-level goals for the EXCITEMENT project. The first is to set up, for the first time, a generic architecture and a comprehensive implementation for a multilingual textual inference platform and to make it available to the scientific and technological communities. The second goal of the project is to develop a new generation of inference-based industrial text exploration applications for customer interactions, which enables businesses to better analyze and make sense of their diverse and often unpredicted client content. These goals were be achieved for three languages, i.e. English, German and Italian, and for three customer interaction channels, i.e. speech (transcriptions), email and social media.
Our pick of the week by @lina_conti: "Exploring NMT Explainability for Translators Using NMT Visualising Tools" by Gonzalez-Saez, @MariamNakhle, @MeLlamoJamesT, @raheel_qader, @didier_schwab, et al., 2024.
#NMT #NLP #NLProc #explainiableAI #XAI
Our pick of the week by @beomseok_lee_: "DiscreteSLU: A Large Language Model with Self-Supervised Discrete Speech Units for Spoken Language Understanding" by Shon, @shinjiw_at_cmu, et al., 2024.
#SLU #speech #LLM
Our pick of the week by @BeatriceSavoldi: "Rethinking Model Evaluation as Narrowing the Socio-Technical Gap" by @QVeraLiao and @ZiangXiao, 2023.
#Human #HumanCentered #Model #Evaluation #ModelEvaluation #AI
📢Come and join our group!
We offer a fully funded 3-year PhD position with the IECS Doctorate School @UniTrento:
Speech Translation in the LLM Era (Area A6)
⏱️Deadline: August 5th, 2024, h 4.00pm (CEST)
📌Application Details: https://iecs.unitn.it/education/admission/call-for-application
#NLProc @FBK_research