MedMentions: A Large Biomedical Corpus Annotated with UMLS Concepts
PulseAugur coverage of MedMentions: A Large Biomedical Corpus Annotated with UMLS Concepts — every cluster mentioning MedMentions: A Large Biomedical Corpus Annotated with UMLS Concepts across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New En-ViMedNER corpus aids Vietnamese biomedical NLP research
Researchers have introduced En-ViMedNER, the first parallel English-Vietnamese biomedical Named Entity Recognition (NER) corpus. This corpus is annotated with Unified Medical Language System (UMLS) semantic types, provi…
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BioELX framework achieves SOTA in cross-lingual biomedical entity linking
Researchers have developed BioELX, a novel two-stage framework for cross-lingual biomedical entity linking that does not require task-specific annotated training data. The first stage enhances a retriever with multiling…
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New Multilingual ColBERT Model Excels in Clinical Text Analysis
Researchers have developed ClinicalEncoder26AM, a multilingual Diagnosable ColBERT model specifically designed for clinical and biomedical texts. This model aligns token-level semantics with a clinical latent space, Cli…
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New framework tests GSSL robustness on noisy biomedical graphs
Researchers have introduced a new framework, NATD-GSSL, to evaluate and improve the robustness of Graph Self-Supervised Learning (GSSL) methods when applied to noisy, text-derived graphs. Existing GSSL techniques typica…