In March 27, F. Couto presented the tutorial Biomedical Text Processing using Semantics at the 43rd European Conference on Information Retrieval (ECIR 2021)

Feedback:

Márcia Barros, Pedro Ruas, Diana Sousa, and Francisco M. Couto
participated in the Biomedical Linked Annotation Hackathon 7
with the project entitled: Annotating a multilingual COVID-19-related corpus

https://blah7.linkedannotation.org/projects%23h.hgnn9hk4slfp#h.hgnn9hk4slfp

Title: Validation of Automatic Similarity Measures

Who: Pedro Jorge Mendes dos Santos

When: January 8, 2021, 2.00pm

Where: FCUL

https://eccb2020.info/ntbt10-biomedical-data-and-text-processing-using-shell-scripting/

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

Video describing our participation in CANTEMIST (CANcer TExt Mining Shared Task – tumor named entity recognition):

Results:

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