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Gabriele Sarti

Data Science MSc Student

University of Trieste & SISSA

Biography

Hey there! I am currently working with the ItaliaNLP Lab and the L2R Lab under the joint supervision of Felice Dell’Orletta and Davide Crepaldi for my thesis project on NLP and psycholinguistics perspectives for linguistic complexity assessment.

My research interests focus on interpreting deep models and understanding their learning dynamics, in particular when dealing with natural language. I am also interested in positive social applications of machine learning and ethical AI.

Interests

  • Natural Language Understanding
  • Interpretability in Deep Learning
  • Representation Learning
  • Psycholinguistics

Education

  • MSc in Data Science, expected 2020

    University of Trieste & SISSA, IT

  • DEC in Software Management, 2018

    Cégep de Saint-Hyacinthe, CA

News

 

  • Our COVID-19 Semantic Browser to facilitate the work of biomedical researchers working on countering the ongoing pandemic is available here!

  • Co-founded and rapidly setting up AI Student Society, a non-profit student association to support the local AI & ML student community. Contact us at [email protected] for more info!

Recent Posts

ICLR 2020 Trends: Better & Faster Transformers for Natural Language Processing

A summary of promising directions from ICLR 2020 for better and faster pretrained tranformers language models.
May 3, 2020 14 min read

Recent & Upcoming Talks

Nov 22, 2019 Room 1A,, Building H3, University of Trieste, Italy

Neural Language Models: the New Frontier of Natural Language Understanding

An overview of the latest advances in the field of NLP, with a focus on neural models and language understanding.

Slides
Oct 31, 2019 12:00 Ridottino Teatro Miela, Trieste, Italy

The Literary Ordnance: When the Writer is an AI

Discussing the applications of AI and NLP in the fields of literature and digital humanities.

Project Slides
Jul 18, 2019 Room 4B, Building H2bis, University of Trieste, Italy

Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Is it possible to induce sparseness in neural networks while preserving its performances? An overview of latest advances in making neural approaches more parsimonious

Slides

Projects

 

Covid-19 Semantic Browser

A semantic browser for SARS-CoV-2 and COVID-19 powered by neural language models.

AItalo Svevo: Letters from an Artificial Intelligence

Generating letters with a neural language model in the style of Italo Svevo, a famous italian writer of the 20th century.

Histopathologic Cancer Detection with Neural Networks

A journey into the state of the art of histopathologic cancer detection approaches.