FACILE

Dec 1, 1995 | Projects

1 December 1995 to 30 November 1997 - PROJECT CLOSED

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.

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#MachineTranslation Research Unit @FBK_research. #nlproc #deeplearning #ai

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23h

Late update, but we had two great talks last month!

#MachineTranslation #FBK #NLProc #GenderBias #SpeechSynthesis

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3 Jun

Our pick of the week by @dhairya_su47605

: "Scaling Laws for Precision" by @tanishqkumar07, Zachary Ankner, @bfspectorShiekh, @blake__bordelon, @Muennighoff, @mansiege, @CPehlevan, Christopher R´e, @AdtRaghunathan

📰

#Quantization #LLM #ScalingLaw

Dhairya Suman @dhairya_su47605

Pick of the week @fbk_mt
Super interesting paper on the limitations of quantization, demonstrating how post-training quantization scales poorly in data.

https://arxiv.org/abs/2411.04330

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27 May

⭐ For our #PickOfTheWeek, this paper explores an important question for modern speech AI:

🎙️ Which Evaluation for Which Speech Model?
👥 Authors: @Maureendss , @EeshanDhekane

Speech foundation models are evolving rapidly, but evaluation practices are still fragmented.

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15 May

🏝️ Yesterday at #LREC2026, Palma de Mallorca!
@lina_conti presented "Voice, Bias, and Coreference: An Interpretability Study of Gender in Speech Translation" at the poster session.
📄Paper:
💻Code: https://github.com/lina-conti/voice-bias-coreference
#SpeechTranslation #NLProc

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