TMT - Ten Minutes Talk with the PhD students in Informatics

Deep Learning System for Biomedical Relation Extraction Combining External Sources of Knowledge

Transmissão através de Videoconferência

Conversa com Diana Sousa (LASIGE, DI-FCUL).

Successful biomedical relation extraction can provide evidence to researchers about possible unknown associations between entities, advancing our current knowledge about those entities and their inherent processes. Multiple relation extraction approaches have been proposed to identify relations between literature concepts, namely using neural networks algorithms. However, most approaches do not use external sources of knowledge as added resources, such as domain-specific ontologies. Moreover, dataset availability is still limited to train reliable models. In this seminar, I will present the advantages of integrating multiple ontologies into a BI-LSTM deep learning system. Additionally, how to create high-quality biomedical training corpora by allying distant supervision with crowdsourcing. The ultimate goal of the thesis is to use external semantic sources of knowledge along with the latest state-of-the-art language representations to improve the current performance of biomedical relation extraction both in English and non-English languages.
 
Short Bio: Diana Sousa received the B.S. degree in biochemistry and the M.Sc. degree in bioinformatics and computational biology from the Faculty of Sciences, University of Lisbon, Lisbon, Portugal, in 2017 and 2019, respectively, where she is currently pursuing the Ph.D. degree in informatics. Since 2016, she has been a Researcher with the LASIGE, Department of Informatics, Faculty of Sciences, University of Lisbon. Her research interest includes the development of text mining systems that aim at extracting biomedical information from biomedical literature, mainly focusing on relations between biomedical entities and on using deep learning approaches that resort to external sources of knowledge.


Transmissão em direto via Zoom.

17h45

Data Science Seminar, por Hugo Silva (IST).

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Ciências ULisboa associa-se uma vez mais à Noite Europeia dos Investigadores, promovendo várias iniciativas.

Imagem ilustrativa da sessão

Sessão de homenagem no âmbito da 13.ª Reunião Anual da APG - Associação Portuguesa de Geólogos.

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Seminário Permanente de Filosofia das Ciências, por Gil Santos  (CFCUL/GI2).

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Cartaz de apresentação da iniciativa

Young Inventors Prize / European Inventor Award: candidaturas até 01 de outubro de 2021.

Mapa antigo

Workshop internacional associado ao projeto Medea-Chart.

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