In September 23, 2020 Francisco Couto participated in the Discussion Panel of the 8th BioASQ 2020 Workshop, and talked about Multilingual Resources and Community Q&A Forums.

DRecPy: A Python Framework for Developing Deep Learning-Based Recommenders
Fábio Colaço, Márcia Barros, Francisco M. Couto accepted for RecSys 2020 late-breaking results

RecSys 2020 – Accepted Contributions

The paper “Linking chemical and disease entities to ontologies by integrating PageRank with extracted relations from literature”, co-authored by Pedro Ruas, Andre Lamurias and Francisco Couto was accepted for publication at Journal of Cheminformatics (h5-index of 41).

Biomedical Data and Text Processing using Shell Scripting

Instructor
Francisco M. Couto | LASIGE, Faculdade de Ciências, Universidade de Lisboa, Portugal

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

The paper “Generating Biomedical Question Answering Corpora from Q&A Forums”, co-authored by Andre Lamurias, Diana Sousa and Francisco Couto, was accepted for publication at IEEE Access, a top-ranked journal.

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.

Francisco Couto gave an invited talk in First Multilingual clinical NLP workshop MUCLIN) in 4 July 2020, entitled Multilingual Text Mining
https://temu.bsc.es/codiesp/index.php/2020/07/02/mie2020/

The DeST team of the first edition of the BioASQ MESINESP task was composed of the LASIGE researchers André Neves, André Lamúrias and Francisco Couto working on project DeST (https://dest.rd.ciencias.ulisboa.pt/). The task was an international competition with the goal of automatically indexing biomedical Spanish articles with structured medical vocabulary (DeCS terms).

The full results for that task are available here: http://participants-area.bioasq.org/results/MESINESP/. The team submitted four system variants, namely LasigeBioTM TXMC F1, LasigeBioTM TXMC P and X-BERT BioASQ, and X-BERT BioASQ F1. The first achieved the second best value for the evaluation measures EBP (Example Based Precision), MaP (mean average precision) and MIP (micro precision).

Diana Sousa a PhD student working on DeST was the top Ciências ULisboa student awarded with a merit scholarship for their work in 2018/2019 academic year. Diana Sousa curricular classifications was the best of the Ciências ULisboa student universe. At the time, Diana was second-year student of the Master on Computational Biology and Bioinformatics at ULisboa and the study-plan consisted of developing a relation extraction tool in the context of the DeST project: https://dest.rd.ciencias.ulisboa.pt/2019/06/12/thesis-extracting-phenotype-gene-relations-from-biomedical-literature-using-distant-supervision-and-deep-learning/

The classifications are not only a measure of the quality of their research work but also of the quality of the research hosted by the DeST project, even at a junior level.

Merit scholarships are awarded by public and private higher education institutions to students with exceptional success in accordance with the Merit Scholarship Regulation for Students of Higher Education Institutions. To be considered of exceptional success the students must have obtained approval in all curricular units that are part of the study plan of the curricular year, and the average of the classifications in those curricular units have to be equal or superior to Very Good (16). The merit scholarships are fully supported by the budget of the Ministry of Science, Technology and Higher Education.

More: https://www.lasige.di.fc.ul.pt/node/3732

Bolsa de Investigação para Licenciado (798 €/mês), com a duração máxima de 8 meses para ínicio de funções em setembro de 2020.

Os candidatos serão avaliados e seriados em concurso de bolsa:
http://www.eracareers.pt/opportunities/index.aspx?task=global&jobId=125143

Deadline: 29 de julho de 2020