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 published in the journal Genomics & Informatics.
The proceedings of the SIIRH2020 workshop are now online at http://ceur-ws.org/Vol-2619/
ChEMU consists of information extraction tasks over chemical reactions described in patents (https://chemu-patent-ie.github.io/). The goal of the task 1 (NER) was to identify chemical compounds and other entities involved in chemical reactions (like time, temperature, yield) in patents text and to assign a type to each entity according to its role in the context of the reaction.
The model developed by the DeST team (lasige_BioTM) outperformed the baseline model and was the third best result:
Exact evaluation
Precision | Recall | F1-Score | |
Baseline | 0.9071 | 0.9071 | 0.8893 |
DeST | 0.9327 | 0.9457 | 0.9392 |
Relaxed evaluation
Precision | Recall | F1-Score | |
Baseline | 0.9208 | 0.9504 | 0.9354 |
DeST | 0.9583 | 0.9960 | 0.9768 |
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.
DeST team (X-BERT BioASQ) obtained the final best EBP (Example Based Precision) at BioASQ Task 8a.
http://participants-area.bioasq.org/results/8a/
Prazo de candidatura: até 26 de junho de 2020.
http://www.eracareers.pt/opportunities/index.aspx?task=global&jobId=124460
FCiências.ID Awards
(awards the Doctoral theses completed in 2019 that stood out for Excellence)
Information and Communication Technologies research area: André Lamúrias
SIIRH2020 (an ECIR2020 workshop) has more than 50 participants and all talks are now available, including the keynote talks: COVID-19 Open Research Dataset (CORD-19) by Kyle Lo and Lucy Lu Wang; CoronaTracker by Cher Han Lau; and BioASQ by George Paliouras.
https://www.youtube.com/playlist?list=PL6RYRv3A1tLwpD4aTbSVraUZNITbkRxZd