EuroSentiment (Language Resource Pool for Sentiment Analysis in European Languages)

Sep 1, 2012 | Projects

1 September 2012 to 31 August 2014 - PROJECT CLOSED

The main concept of the project EuroSentiment was to provide a shared language resource pool for fostering sentiment analysis. To this end, a detailed collection of requirements of language resource providers and users was performed with the aim of satisfying their needs in terms of multilingual, quality and domain coverage. Interoperability was achieved by cleaning, aligning, and integrating various resources, resulting in the establishment of a seamless and homogeneous interface.

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

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Avatar Gray Swan AI @grayswanai ·

20 Jan

Announcing the Safeguards Challenge, the Arena's first Red-versus-Blue competition.

$140K in prizes. Red teams attack, blue teams defend. Alternating phases over three months on a realistic multi-agent system.

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Avatar MT Group at FBK @fbk_mt ·

21 Jan

Last week at the @fbk_mt seminars, we hosted @esalesk from Google DeepMind, presenting her work on "Translation and Language Modeling with Pixels"

#NLProc #tokenization #MT

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Avatar MT Group at FBK @fbk_mt ·

20 Jan

Our #PickOfTheWeek by @lina_conti: "#Voice #gender #diversity: expression, perception and acoustics" by Victor Rosi and Carolyn McGettigan (Royal Society Open Science 2025).

#Speech #SpeechTech

Lina Conti @lina_conti

💬Pick of the week @fbk_mt: "Voice gender diversity: expression, perception and acoustics."

A comprehensive review of gender-diverse voices. Covers acoustic properties, perception, and the gap between self-expression of gender and how voices are heard.

https://royalsocietypublishing.org/rsos/article/12/10/251193/236071/Voice-gender-diversity-expression-perception-and

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Avatar MT Group at FBK @fbk_mt ·

7 Jan

Our pick of the week by @apierg: "Glitter: A Multi-Sentence, Multi-Reference #Benchmark for #Gender-Fair German Machine Translation" by A Pranav, Janiça Hackenbuchner, @peppeatta, @manuellardelli, @anne_lauscher (Findings #EMNLP2025)

#MT #Translation

Andrea Piergentili @apierg

Impressive work by the Glitter team: a new human-made benchmark for German gender-inclusive MT with long passages and multiple inclusive approaches + experiments showing that MT systems and LLMs still fall short in generating inclusive outputs.
https://aclanthology.org/2025.findings-emnlp.1002/ ✨
@fbk_mt

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