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

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In September 24, 2020 Francisco will give a talk entitled “Bioinformática: Processamento de Dados e Texto Biológico Via Linha de Comando” at II Semana de Biologia da Universidade Federal do Sul da Bahia – Campus Sosígenes Costa, Brazil

https://youtu.be/X8H45-cg4hw?t=254

https://sites.google.com/view/sembioufsb/palestras?authuser=0#h.7p315tajhtfj

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

NTB – T10

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 (http://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).