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Found 6 papers, 1 papers with code
A Named Entity Recognition Corpus for Vietnamese Biomedical Texts to Support Tuberculosis Treatment
To address this situation, we have constructed VietBioNER, a labelled NER corpus of Vietnamese academic biomedical text.
Simple Semantic-based Data Augmentation for Named Entity Recognition in Biomedical Texts
Data augmentation is important in addressing data sparsity and low resources in NLP.
Coreference Resolution in Full Text Articles with BERT and Syntax-based Mention Filtering
Additionally, the proposed model is able to detect coreferent pairs in long distances, even with a distance of more than 200 sentences.
An Empirical Investigation of Error Types in Vietnamese Parsing
Syntactic parsing plays a crucial role in improving the quality of natural language processing tasks.
Proactive Learning for Named Entity Recognition
The goal of active learning is to minimise the cost of producing an annotated dataset, in which annotators are assumed to be perfect, i. e., they always choose the correct labels.
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