Search Results for author:
Found 11 papers, 3 papers with code
COVID-19: A Semantic-Based Pipeline for Recommending Biomedical Entities
With the increasing number of publications about COVID-19, it is a challenge to extract personalized knowledge suitable for each researcher.
Graph Neural Networks for Microbial Genome Recovery
In this paper, we propose to use Graph Neural Networks (GNNs) to leverage the assembly graph when learning contig representations for metagenomic binning.
Priberam Labs at the NTCIR-15 SHINRA2020-ML: Classification Task
Wikipedia is an online encyclopedia available in 285 languages.
Generating Biomedical Question Answering Corpora from Q&A forums
The proposed framework can be used to update the BiQA corpus from the same forums as new posts are made, and from other forums that support their answers with documents.
LasigeBioTM at MEDIQA 2019: Biomedical Question Answering using Bidirectional Transformers and Named Entity Recognition
This approach shared the same pre-trained weights, but which were then fine-tuned for each task using the provided training data.
Using Neural Networks for Relation Extraction from Biomedical Literature
Several relation extraction approaches have been proposed to identify relations between concepts in biomedical literature, namely, using neural networks algorithms.
A Silver Standard Corpus of Human Phenotype-Gene Relations
This paper presents the Phenotype-Gene Relations (PGR) corpus, a silver standard corpus of human phenotype and gene annotations and their relations.
ULISBOA at SemEval-2017 Task 12: Extraction and classification of temporal expressions and events
This paper presents our approach to participate in the SemEval 2017 Task 12: Clinical TempEval challenge, specifically in the event and time expressions span and attribute identification subtasks (ES, EA, TS, TA).
WS4A: a Biomedical Question and Answering System based on public Web Services and Ontologies
This paper describes our system, dubbed WS4A (Web Services for All), that participated in the fourth edition of the BioASQ challenge (2016).
