Presentation of the paper “Deep Semantic Entity Linking” in ECIR 2021 Doctoral Consortium by Pedro Ruas. Slides
Presentation of the Doctoral Consortium paper Deep Learning System for Biomedical Relation Extraction Combining External Sources of Knowledge by Diana Sousa.
In March 27, F. Couto presented the tutorial Biomedical Text Processing using Semantics at the 43rd European Conference on Information Retrieval (ECIR 2021)
Hybrid semantic recommender system for chemical compounds in large-scale datasets by Marcia Barros, Andre Moitinho & Francisco M. Couto in Journal of Cheminformatics.
Márcia Barros, Pedro Ruas, Diana Sousa, and Francisco M. Couto
participated in the Biomedical Linked Annotation Hackathon 7
with the project entitled: Annotating a multilingual COVID-19-related corpus
Title: Validation of Automatic Similarity Measures
Who: Pedro Jorge Mendes dos Santos
When: January 8, 2021, 2.00pm
Title: Why analyze biomedical text if we have data?
Speaker: Francisco Couto (LASIGE/DI-FCUL)
Date: December 18, 14h30
Organized by: Tiago Guerreiro
Data Science Seminars is a Ciências ULisboa Master Programme in Data Science’s course that offers an overview of data science, with a focus in its application areas.
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.