Vec2Doc: Transforming Dense Vectors into Sparse Representations for Efficient Information Retrieval - researchr publication authors

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Fabio Carrara, Claudio Gennaro, Lucia Vadicamo, Giuseppe Amato 0001. Vec2Doc: Transforming Dense Vectors into Sparse Representations for Efficient Information Retrieval. In Oscar Pedreira, Vladimir Estivill-Castro, editors, Similarity Search and Applications - 16th International Conference, SISAP 2023, A Coruña, Spain, October 9-11, 2023, Proceedings. Volume 14289 of Lecture Notes in Computer Science, pages 215-222, Springer, 2023. [doi]

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