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Stamatatos et al., 2016 - Google Patents

Clustering by authorship within and across documents

Stamatatos et al., 2016

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Document ID
7063387241710937634
Author
Stamatatos E
Tschnuggnall M
Verhoeven B
Daelemans W
Specht G
Stein B
Potthast M
Publication year
Publication venue
Working Notes Papers of the CLEF 2016 Evaluation Labs. CEUR Workshop Proceedings/Balog, Krisztian [edit.]; et al.

External Links

Snippet

The vast majority of previous studies in authorship attribution assume the existence of documents (or parts of documents) labeled by authorship to be used as training instances in either closed-set or open-set attribution. However, in several applications it is not easy or …
Continue reading at repository.uantwerpen.be (PDF) (other versions)

Classifications

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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
    • G06F17/30657—Query processing
    • G06F17/30675—Query execution
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F17/3071—Clustering or classification including class or cluster creation or modification
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