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Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractLearning scientific document representations can be substantially improved through contrastive learning objectives, where the challenge lies in creating positive and negative training samples that encode the desired similarity semantics. Prior …...

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