[Corpora-List] Call for Papers: Language processing in the era of deep learning (special session @ ESANN 2020)

Alberto Lavelli lavelli at fbk.eu
Thu Sep 12 12:40:36 CEST 2019

Call for Papers

Special Session: Language processing in the era of deep learning

Co-located @ 28-th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN).

This event builds upon a very successful series of conferences organized each year since 1993. ESANN has become a major scientific event in the machine learning, computational intelligence and artificial neural networks fields over the years.

*Submission deadline: 18 November, 2019*

Date of conference: April 22-24, 2020


Selected papers from the ESANN 2020 proceedings will be invited for publication of an extended version in a special issue of the Neurocomputing journal.

The conference is held in Bruges, Belgium. Bruges is one of the most beautiful medieval towns in Europe. Designated as the "Venice of the North", the city has preserved all the charms of the medieval heritage.

SPECIAL SESSION: Language processing in the era of deep learning

Organized by Ivano Lauriola (University of Padova, Italy; Fondazione Bruno Kessler, Italy), Alberto Lavelli (Fondazione Bruno Kessler, Italy), Fabio Aiolli (University of Padova, Italy)

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.

Relevant deep learning topics include, but are not limited to:

- word, sentence, and document embeddings

- graph embeddings and knowledge bases

- information extraction

- named entity recognition and relation extraction

- question answering

- string kernels

- encoding/decoding architectures

- summarization

- machine translation

- document classification

- sentiment analysis

- efficient and interpretable models

- ontologies and knowledge-driven approaches

- resources, datasets, and pre-trained models

- multidisciplinary applications (such as biomedical text mining, verbal lie detection...)

- creative tasks (such as storytelling, caption generation, social media analytics, multilinguality…)


- all questions concerning this Special Session may be sent by e-mail to ivano.lauriola at phd.unipd.it

- other general questions related to the ESANN 2020 conference may be sent by e-mail directly to the conference organizers: esann at uclouvain.be

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