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pro vyhledávání: '"Pernes, Diogo"'
Cross-lingual summarization aims to bridge language barriers by summarizing documents in different languages. However, ensuring semantic coherence across languages is an overlooked challenge and can be critical in several contexts. To fill this gap,
Externí odkaz:
http://arxiv.org/abs/2410.00502
Autor:
Monteiro, Raul, Pernes, Diogo
Speech-to-text (S2T) summarization is a time-saving technique for filtering and keeping up with the broadcast news uploaded online on a daily basis. The rise of large language models from deep learning with impressive text generation capabilities has
Externí odkaz:
http://arxiv.org/abs/2306.05432
Current abstractive summarization systems present important weaknesses which prevent their deployment in real-world applications, such as the omission of relevant information and the generation of factual inconsistencies (also known as hallucinations
Externí odkaz:
http://arxiv.org/abs/2210.15553
Autor:
Pernes, Diogo, Cardoso, Jaime S.
It has been known for a while that the problem of multi-source domain adaptation can be regarded as a single source domain adaptation task where the source domain corresponds to a mixture of the original source domains. Nonetheless, how to adjust the
Externí odkaz:
http://arxiv.org/abs/2009.13939
Autor:
Pernes, Diogo, Cardoso, Jaime S.
We propose a framework to model the distribution of sequential data coming from a set of entities connected in a graph with a known topology. The method is based on a mixture of shared hidden Markov models (HMMs), which are jointly trained in order t
Externí odkaz:
http://arxiv.org/abs/1904.00442
This paper addresses the problem of automatic emotion recognition in the scope of the One-Minute Gradual-Emotional Behavior challenge (OMG-Emotion challenge). The underlying objective of the challenge is the automatic estimation of emotion expression
Externí odkaz:
http://arxiv.org/abs/1805.01416
Autor:
Pernes, Diogo, Cardoso, Jaime S.
Publikováno v:
In Expert Systems With Applications 15 May 2022 194
Autor:
Allahdadi, Anisa1 (AUTHOR) anisa.allahdadi@inesctec.pt, Pernes, Diogo2 (AUTHOR), Cardoso, Jaime S.1 (AUTHOR), Morla, Ricardo1 (AUTHOR)
Publikováno v:
Neural Computing & Applications. Jul2021, Vol. 33 Issue 14, p8777-8794. 18p.
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