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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

Publications

ETC-NLG: End-to-end Topic-Conditioned Natural Language Generation

We present ETC-NLG, an approach leveraging topic modeling annotations to enable fully-unsupervised End-to-end Topic-Conditioned Natural …
Paper

Blog 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

Neural Language Models: the New Frontier of Natural Language Understanding
Nov 22, 2019 Room 1A,, Building H3, University of Trieste, Italy
The Literary Ordnance: When the Writer is an AI
Oct 31, 2019 12:00 Ridottino Teatro Miela, Trieste, Italy
Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jul 18, 2019 Room 4B, Building H2bis, University of Trieste, Italy

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.