The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes

28 Dec 2020 Nils Reimers Iryna Gurevych

Information Retrieval using dense low-dimensional representations recently became popular and showed out-performance to traditional sparse-representations like BM25. However, no previous work investigated how dense representations perform with large index sizes... (read more)

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