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Hits 1 – 3 of 3
1
Methods for Evaluating Text Extraction Toolkits: An Exploratory Investigation
Allison, Timothy B
;
Herceg, Paul M
In: DTIC (2015)
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2
Novel Topic Impact on Authorship Attribution
Caver, Johnnie F.
In: DTIC (2009)
Abstract:
Several authorship attribution studies have speculated about the existence of a link between topic cues and author style features. This research presents a novel experimental protocol for measuring the impact of topic features on author attribution predictive models. We call our technique "novel topic crossvalidation," which consists of holding out a single topic in a test set and iterating over choices of held-out topic to compute an average performance score. Using the New York Times Annotated corpus, we perform a subset procedure to build a sub-corpus of 18,862 documents, 15 authors, and 23 topics. With this sub-corpus, we perform a novel topic crossvalidation. Our experiments differ from previous attempts to model topic/author influence in scope; previous methods were limited to three or fewer topics or authors. Having a larger set of topics and authors should provide researchers with a greater opportunity to explore the variability of style cues represented in sets of authors, as well as the confounding influence of topic. For this reason, we supply document/author/topic identifications so that researchers can build upon our work in a reproducible fashion. ; The original document contains color images.
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*NOVEL TOPIC CROSSVALIDATION
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URL:
http://www.dtic.mil/docs/citations/ADA514246
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA514246
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3
Natural Language Generation
Hovy, Eduard H.
In: DTIC AND NTIS (1992)
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