MEANING will be concerned with automatically collecting and analysing language data from the WWW on a large scale, and building more comprehensive multilingual lexical knowledge bases to support improved word sense disambiguation (WSD). Current web access applications are based on words; MEANING will open the way for access to the Multilingual Web based on concepts, providing applications with capabilities that significantly exceed those currently available. MEANING will facilitate development of concept-based open domain Internet applications (such as Question/Answering, Cross Lingual Information Retrieval, Summarisation, Text Categorisation, Event Tracking, Information Extraction, Machine Translation, etc.). Furthermore, MEANING will supply a common conceptual structure to Internet documents, thus facilitating knowledge management of web content.
- PROJECT CLOSED
We are glad to announce that our @sarapapi received the Special Mention for the Best PhD Thesis Award assigned by AIxIA 2024! @AI_x_IA
https://mt.fbk.eu/our-postdoc-sara-papi-received-the-best-phd-thesis-special-mention-by-aixia-2024/
Our pick of the week by @beomseok_lee_: "SSR: Alignment-Aware Modality Connector for Speech Language Models" by @weiting_nlp, @HirofumiInaguma, Ning Dong, Paden Tomasello, and @xutai_ma.
#speech #alignment #modality #LLM
πππ Big kudos to our @DennisFucci for being recognized as an #EMNLP2024 Outstanding Reviewer! Amazing work!