FRINK Linked Data Fragments server

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• W2895553491 abstract "This chapter focuses on the classic problem of ad hoc document retrieval and discusses how entities may be leveraged to improve retrieval performance. Entities facilitate a semantic understanding of both the user’s information need, as expressed by the keyword query, and of the document’s content. We present three different families of approaches: (1) expansion-based methods, which utilize entities as a source of expansion terms to enrich the representation of the query; (2) projection-based methods, which treat entities as a latent layer, while leaving the original document/query representations intact; and (3) entity-based methods, which consider explicitly the entities that are recognized in documents, and embrace entity-based representations in “duet” with traditional term-based representations." @default.
• W2895553491 created "2018-10-12" @default.
• W2895553491 creator A5059926999 @default.
• W2895553491 date "2018-01-01" @default.
• W2895553491 modified "2023-09-24" @default.
• W2895553491 title "Leveraging Entities in Document Retrieval" @default.
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• W2895553491 doi "https://doi.org/10.1007/978-3-319-93935-3_8" @default.
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