Densifying Sparse Representations for Passage Retrieval by Representational Slicing
Paper
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2112.04666
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Published
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This model, DeLADE, is trained by fusing neural lexical and semantic components in single transformer using DistilBERT as a backbone. A Dense Representation Framework for Lexical and Semantic Matching Sheng-Chieh Lin and Jimmy Lin.
You can find the usage of the model in our DHR repo: (1) Inference on MSMARCO Passage Ranking; (2) Inference on BEIR datasets.
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