Diana Sousa was awarded a scholarship (of the 50 scholarships assigned) in a partnership between Huawei Portugal and .PT, under the Seeds For The Future 2.0 program that aims to empower students in the STEM areas. The student was selected from approximately 3000 applications based on academic and social merit!
Presentation of the Doctoral Consortium paper Deep Learning System for Biomedical Relation Extraction Combining External Sources of Knowledge by Diana Sousa.
A hybrid approach toward biomedical relation extraction training corpora: combining distant supervision with crowdsourcing by Diana Sousa, Andre Lamurias, and Francisco M. Couto was published in the journal Database.
Using Neural Networks for Relation Extraction from Biomedical Literature by Diana Sousa, Andre Lamurias, and Francisco M. Couto was published as a book chapter of the Artificial Neural Networks volume.
Improving Accessibility and Distinction between Negative Results in Biomedical Relation Extraction by Diana Sousa, Andre Lamurias, and Francisco M. Couto was published in the journal Genomics & Informatics.
Improving Accessibility and Distinction between Negative Results in Biomedical Relation Extraction by Diana Sousa, Andre Lamurias, and Francisco M. Couto was accepted in the journal Genomics & Informatics.
Diana Sousa will be attending the Biomedical Linked Annotation Hackathon 6, with the project Annotation of Human Phenotype-Gene Relations.
4-7 February 2020
Tokyo, Japan
The preprint of the article BiOnt: Deep Learning using Multiple Biomedical Ontologies for Relation Extraction accepted at ECIR 2020 as short paper is now available at https://arxiv.org/abs/2001.07139.