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.
ποΈ 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.
πPaper:
π»Code: https://github.com/lina-conti/voice-bias-coreference
#SpeechTranslation #NLProc
How does the granularity of speech-text pairs impact SpeechLLM performance, and what is the optimal way to interleave tokens? Furthermore, what are the best practices for generating synthetic data to boost training?π§
ποΈ Our paper on connecting Speech Foundation Models with LLMs is featured in the SpeechLMM Training Journal on Weights & Biases.
Read it π https://bit.ly/4svG7ll
SpeechLMM 2.0 coming this summer. π
#Meetween #SpeechLMM #AI #NLP