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Found 6 papers, 4 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.
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.
BiOnt: Deep Learning using Multiple Biomedical Ontologies for Relation Extraction
Successful biomedical relation extraction can provide evidence to researchers and clinicians about possible unknown associations between biomedical entities, advancing the current knowledge we have about those entities and their inherent mechanisms.
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).
