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.
1 October 2006 to 30 September 2009 - PROJECT CLOSED
Our @apierg presenting our #calamita challenges at #CLiCit2024: machine translation and gender-fair generation.
Poster session upcoming, see you there!
For more details:
π MagneT: https://clic2024.ilc.cnr.it/wp-content/uploads/2024/12/120_calamita_long.pdf
π GFG: https://clic2024.ilc.cnr.it/wp-content/uploads/2024/12/122_calamita_long.pdf
π Interested in Simultaneous Translation? We're organizing the @iwslt SimulST Shared Task and would love your input for the 2025 edition. π£οΈ
π Share your thoughts here: