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Found 16 papers, 5 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.
LASIGE and UNICAGE solution to the NASA LitCoin NLP Competition
Biomedical Natural Language Processing (NLP) tends to become cumbersome for most researchers, frequently due to the amount and heterogeneity of text to be processed.
ECIR 2020 Workshops: Assessing the Impact of Going Online
In this report, we describe the experience of organizing the ECIR 2020 Workshops in this scenario from two perspectives: the workshop organizers and the workshop participants.
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.
Hybrid Semantic Recommender System for Chemical Compounds
In this work, we propose a Hybrid recommender model for recommending Chemical Compounds.
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.
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.
MoRS at SemEval-2017 Task 3: Easy to use SVM in Ranking Tasks
This paper describes our system, dubbed MoRS (Modular Ranking System), pronounced {`}Morse{'}, which participated in Task 3 of SemEval-2017.
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).
