Having sufficient resources for language X lifts it from the under-resourced languages class,
but not necessarily from the under-researched class. In this paper, we address the problem …

Transformer-based models have become the state-of-the-art for numerous natural language
processing (NLP) tasks, especially for noisy data sets, including social media posts. For …

In this paper, first, a hardware-friendly pruning algorithm for reducing energy consumption
and improving the speed of Long Short-Term Memory (LSTM) neural network accelerators is …

Automatic text summarization (ATS), alongside neural machine translation or question
answering, is one of the leading tasks in Natural Language Processing (NLP). In recent …

The transformer architecture has become one of the most prominent in natural language
processing (NLP) since its introduction in 2017 [65]. The primary component of the …

People read for various purposes like learning specific skills, acquiring foreign languages,
and enjoying the pure reading experience, etc. This kind of pure enjoyment may credit to …

This paper draws on information infrastructures (IIs) in science and technology studies
(STS), as well as on feminist STS scholarship and contemporary critical accounts of digital …

In this work, we introduce BureauBERTo, the first transformer-based language model
adapted to the Italian Public Administration (PA) and technical-bureaucratic domains. We …

A consistent body of evidence suggests that dream reports significantly vary from other types
of textual transcripts with respect to semantic content. Furthermore, it appears to be a …

La resistencia a los antimicrobianos constituye una grave amenaza para la salud humana.
El descubrimiento de fármacos basados en péptidos antimicrobianos (AMP) es uno de los …