no code implementations • EMNLP (NLP-COVID19) 2020 • Tiago Almeida, Sérgio Matos
The Covid-19 pandemic urged the scientific community to join efforts at an unprecedented scale, leading to faster than ever dissemination of data and results, which in turn motivated more research works.
1 code implementation • 9 Sep 2022 • João Figueira Silva, Sérgio Matos
Finally, we demonstrate the potential of the sequence-based architecture using a sliding window mechanism to represent the input data, attaining comparable performances to other existing solutions.
1 code implementation • Database: The Journal of Biological Databases and Curation 2022 • Tiago Almeida, Rui Antunes, João F. Silva, João R. Almeida, Sérgio Matos
We propose a three-stage pipeline that individually performs chemical mention detection, entity normalization and indexing.
Ranked #1 on Chemical Indexing on BC7 NLM-Chem
no code implementations • BioCreative VII Challenge Evaluation Workshop 2021 • Tiago Almeida, Rui Antunes, João Figueira Silva, João Rafael Almeida, Sérgio Matos
Identifying chemicals in biomedical scientific literature is a crucial task for drug development research.
Ranked #2 on Chemical Indexing on BC7 NLM-Chem
1 code implementation • 2 Feb 2021 • Jorge Miguel Silva, Diogo Pratas, Rui Antunes, Sérgio Matos, Armando J. Pinho
The artistic community is increasingly relying on automatic computational analysis for authentication and classification of artistic paintings.