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Found 5 papers, 4 papers with code
Label Refinement via Contrastive Learning for Distantly-Supervised Named Entity Recognition
Distantly-supervised named entity recognition (NER) locates and classifies entities using only knowledge bases and unlabeled corpus to mitigate the reliance on human-annotated labels.
BIOS: An Algorithmically Generated Biomedical Knowledge Graph
For decades, these knowledge graphs have been developed via expert curation; however, this method can no longer keep up with today's AI development, and a transition to algorithmically generated BioMedKGs is necessary.
Semi-constraint Optimal Transport for Entity Alignment with Dangling Cases
To improve EA with dangling entities, we propose an unsupervised method called Semi-constraint Optimal Transport for Entity Alignment in Dangling cases (SoTead).
An Accurate Unsupervised Method for Joint Entity Alignment and Dangling Entity Detection
We construct a medical cross-lingual knowledge graph dataset, MedED, providing data for both the EA and DED tasks.
Sentence Alignment with Parallel Documents Facilitates Biomedical Machine Translation
Materials and Methods: Document-level translations are mixed to train bilingual word embeddings (BWEs) for the evaluation of cross-lingual word similarity, and sentence distance is defined by combining semantic and positional similarities of the sentences.
