The FACILE project aimed at the development of a system for the categorisation of texts from the area of finance and business news in an exact and specific way. The intended users of the system were institutions from finance and commerce that have a vital interest in up-to-date business information stemming from online news agencies and periodicals. An important consideration in FACILE has been its use across country and language borders. The possibility to process texts in various languages and to derive factual information in a language independent, formatted form allowed for the rapid dissemination of information across borders.
ππΌ Excited to share our work on Speech Foundation Model for data crowdsourcing at COLING 2025 ππΌ
Our co-author Laurent Besacier (@laurent_besacie) at NAVER LABS Europe will be presenting -- don't miss it.
ππΌ Details: https://mt.fbk.eu/1-paper-accepted-at-coling-2025
Exciting news: @iwslt is co-located with #ACL2025NLP again this year! π
Interested in speech processing? Check out the new task on instruction following β any model can participate! π
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Data release: April 1
β³ Submission deadline: April 15
Donβt miss it! π¬ #NLP #SpeechTech
Weekly pick from the #MeetweenScientificWatch: βVideo-SALMONN: Speech-enhanced audio-visual large language modelsβ β Redefining video comprehension with speech-aware AV-LLMs and groundbreaking QA accuracy. π₯π€π€
Iβm glad to announce that our work βHow "Real" is Your Real-Time Simultaneous Speech-to-Text Translation System?β has been accepted at the Transactions of @aclanthology (TACL)! π
The preprint is available here: