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

https://ciencias.ulisboa.pt/sites/default/files/fcul/institucional/premios_desempenho/Premio_FCienciasID_2019.pdf

Published paper: BiOnt: Deep Learning Using Multiple Biomedical Ontologies for Relation Extraction

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

Francisco Couto will give a tutorial entitled: Biomedical Data and Text Processing using Shell Scripting at the 19th European Conference on Computational Biology (ECCB2020):

TUTORIALS

Francisco Couto (LASIGE integrated member) and Martin Krallinger (Text Mining unit at the Barcelona Supercomputing Center (BSC)) are the Organizers of the Semantic Indexing and Information Retrieval for Health (SIIRH2020), that will be held in conjunction with the 42nd European Conference on Information Retrieval (ECIR2020), in Lisbon, at the 14th of April.

The Programme Committee also include other LASIGE members as André Lamúrias, Diana Sousa, Márcia Barros and Pedro Ruas.

The workshop and the conference will be open online events, free registration at: https://ecir2020.org/registration/.

And recent COVID-19 international initiatives will be the focus of the keynote talks at the workshop:

1 – COVID-19 Open Research Dataset (CORD-19) by Kyle Lo and Lucy Lu Wang “In response to the COVID-19 pandemic, the Allen Institute for AI has partnered with leading research groups to prepare and distribute the COVID-19 Open Research Dataset (CORD-19), a free resource of over 45,000 scholarly articles, including over 33,000 with full text, about COVID-19 and the coronavirus family of viruses for use by the global research community”.

2 – CoronaTracker by Cher Han Lau “CORONATRACKER.com is a community-based project powered by over 460 volunteers from across the globe, ranging from data scientists, medical professionals, UI/UX designers, fullstack developers, to the general public. It acts as a portal for the public to keep track of the latest news development about the COVID-19, alongside collecting data for further analysis”.

This workshop will be a forum where the community can present and discuss current and future directions for the area based on the experience and results obtained in BioASQ, keynote talk by George Paliouras, and the MESINESP task. Moreover, the workshop will include the presentation of recent works covering IR technologies for heterogeneous health-related content open to multiple languages with a particular interest in the exploitation of structured controlled vocabularies and entity linking.

https://www.lasige.di.fc.ul.pt/node/3673

When: March 25, 3:00pm – 4:30pm
Where: https://videoconf-colibri.zoom.us/j/143872626?pwd=YWlPZGhhTFc2YXVHczJCYkFMMXNYZz09
What: FCT project proposal (André Lamurias) and COVID-19 Open Research Dataset Challenge (CORD-19) | Kaggle

When: March 18, 3:00pm – 4:30pm
Where: https://videoconf-colibri.zoom.us/j/231554476?pwd=WFdmaUZEYm5NQVB3ekY3TmJMQmhLQT09
What: FCT project proposals (Francisco Couto), and PhD proposals (Pedro Ruas and André Nascimento)