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• W1969200490 abstract "An unsolved problem in logic-based information retrieval is how to obtain automatically logical representations for documents and queries. This problem limits the impact of logical models for information retrieval because their full expressive power cannot be harnessed. In this paper we propose a method for producing logical document representations which goes further than other simplistic bag-of-words approaches. The suggested procedure adopts popular information retrieval heuristics, such as document length corrections and global term distribution. This work includes a report of several experiments applying partial document representations in the context of a propositional model of information retrieval. The benefits of this expressive framework, powered by the new logical indexing approach, become apparent in the evaluation." @default.
• W1969200490 created "2016-06-24" @default.
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• W1969200490 date "2006-11-01" @default.
• W1969200490 modified "2023-09-26" @default.
• W1969200490 title "Negations and document length in logical retrieval" @default.
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• W1969200490 doi "https://doi.org/10.1016/j.is.2005.11.001" @default.
• W1969200490 hasPublicationYear "2006" @default.
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