The scientific and technological objectives of QALL-ME pursued three crucial directions: multilingual open domain QA, user-driven and context-aware QA, and learning technologies for QA. The specific research objectives of the project included state-of-art advancements in the complexity of the questions handled by the system(e.g. how questions); the development of a web-based architecture for cross-language QA (i.e. question in one language, answer in a different language); the realization of real-time QA systems for concrete applications; the integration of the temporal and spatial context both for question interpretation and for answer extraction; the development of a robust framework for applying minimally supervised machine learning algorithms to QA tasks; and the integration of mature technologies for automatic speech recognition within the open domain question answering framework.
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