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- W34723433 abstract "Finding similar documents in natural language document collections is a difficult task that requires general and domain-specific world knowledge, deep analysis of the documents, and inference. However, a large portion of the pairs of similar documents can be identified by simpler, purely word-based methods. We show the use of Probabilistic Latent Semantic Analysis for finding similar documents. We evaluate our system on a collection of photocopier repair tips. Among the 100 top-ranked pairs, 88 are true positives. A manual analysis of the 12 false positives suggests the use of more semantic information in the retrieval model." @default.
- W34723433 created "2016-06-24" @default.
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- W34723433 date "2002-01-01" @default.
- W34723433 modified "2023-09-25" @default.
- W34723433 title "Finding Similar Documents in Document Collections" @default.
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