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Assessed Relevance and Stylistic Variation
RISE, Swedish ICT, SICS. Proteus.ORCID iD: 0000-0003-4042-4919
Number of Authors: 1
1996 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Texts exhibit considerable stylistic variation. This paper reports an experiment where a large corpus of documents is analyzed using various simple stylistic metrics. A subset of the corpus has been previously assessed to be relevant for answering given information retrieval queries. The experiment shows that this subset differs significantly from the rest of the corpus in terms of the stylistic metrics studied.

Place, publisher, year, edition, pages
1996, 1. , p. 2
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-21016OAI: oai:DiVA.org:ri-21016DiVA, id: diva2:1041050
Conference
19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Zurich, Switzerland
Projects
Proteus
Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2018-03-08Bibliographically approved

Open Access in DiVA

fulltext(112 kB)6 downloads
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File name FULLTEXT01.pdfFile size 112 kBChecksum SHA-512
135f2e768765a58588aa8fe9aab4629321508167b4927018614a9032f924711edff41de7de599e6cdec656d6c7363f25f3b5d5e58b7c37dc4f942b880fe0c1ff
Type fulltextMimetype application/pdf

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