Papers with Document Augmentation

1 papers
Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation (2022.acl-short)

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Challenge: Existing sparse retrieval models rely on term-based matching to retrieve relevant documents.
Approach: They propose a framework which augments the representations of documents with interpolation and perturbation.
Outcome: The proposed framework significantly outperforms baselines on the dense retrieval of both the labeled and unlabeled documents.

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