The article “COVID-19: A Semantic-Based Pipeline for Recommending Biomedical Entities”, co-authored by Marcia Afonso Barros, Andre Lamurias, Diana Sousa, Pedro Ruas, Francisco M. Couto was accepted and presented at the proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020.

The main contributions of this work are: a dataset of 9k articles automatically annotated with relevant items/concepts for CORD19; a sample dataset curated for CORD-19; a sample dataset with relations between the entities of the four ontologies; an implicit feedback matrix based on the previous datasets.

The work is freely available at: https://github.com/lasigeBioTM/knowledge-extraction-from-CORD-19

Title: Recommender Systems Based on Deep Learning Techniques

Who: Fábio Colaço

When: November 12, 2020, 5.00pm

Where: FCUL

Title:  Applying Deep Learning Extreme Multi-Label Classification to the Biomedical and Multilingual Panorama

Who: André Neves

When: November 3, 2020, 3.00pm

Where: FCUL