no code implementations • 10 Aug 2023 • Pedro Ruas, Diana F. Sousa, André Neves, Carlos Cruz, Francisco M. Couto
Biomedical Natural Language Processing (NLP) tends to become cumbersome for most researchers, frequently due to the amount and heterogeneity of text to be processed.
no code implementations • EMNLP (NLP-COVID19) 2020 • Marcia Afonso Barros, Andre Lamurias, Diana Sousa, Pedro Ruas, Francisco M. Couto
With the increasing number of publications about COVID-19, it is a challenge to extract personalized knowledge suitable for each researcher.
no code implementations • NAACL (SMM4H) 2021 • Pedro Ruas, Vitor Andrade, Francisco Couto
The paper describes the participation of the Lasige-BioTM team at sub-tracks A and B of ProfNER, which was based on: i) a BiLSTM-CRF model that leverages contextual and classical word embeddings to recognize and classify the mentions, and ii) on a rule-based module to classify tweets.