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Language processing in the era of deep learning (special session @ ESANN 2020)
Natural Language Processing (NLP) is a branch of artificial intelligence brimful of intricate, sophisticated, and challenging tasks, such as machine translation, question answering, summarization, and so on.
Thanks to the recent advances of deep learning, NLP applications have received an unprecedented boost in performance, generating growing interest from the machine learning community. However, even if deep learning techniques are starting to reach excellent performance on various tasks, there are still several problems that need to be solved, such as the computational cost, the reproducibility of results, and the lack of interpretability.
This special session is devoted to cover novel research about popular and fashionable applications of machine learning and deep learning solutions to NLP tasks. Both theoretical analysis and empirical solutions to real-world problems are welcome and encouraged.
Organizing Committee: Ivano Lauriola, Alberto Lavelli, Fabio Aiolli