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1
Methods for Evaluating Text Extraction Toolkits: An Exploratory Investigation
In: DTIC (2015)
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2
Relevance Feedback based on Constrained Clustering: FDU at TREC 09
In: DTIC (2009)
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3
A Journey in Entity Related Retrieval for TREC 2009
In: DTIC (2009)
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4
Lucene for n-grams using the ClueWeb Collection
In: DTIC (2009)
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5
BIT at TREC 2009 Faceted Blog Distillation Task
In: DTIC (2009)
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6
IRRA at TREC 2009: Index Term Weighting based on Divergence From Independence Model
In: DTIC (2009)
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7
POSTECH at TREC 2009 Blog Track: Top Stories Identification
In: DTIC (2009)
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8
PRIS at 2009 Relevance Feedback track: Experiments in Language Model for Relevance Feedback
In: DTIC (2009)
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9
Novel Topic Impact on Authorship Attribution
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.
Keyword: *AUTHORS; *AUTHORSHIP; *CROSSVALIDATION; *DOCUMENTS; *NATURAL LANGUAGE; *NOVEL TOPIC CROSSVALIDATION; *PATTERN RECOGNITION; *SEMANTICS; *TEXT PROCESSING; AUTHOR TOPIC CORRELATION; AUTHORSHIP DETECTION; Computer Programming and Software; Cybernetics; ENTROPY; GA(GENETIC ALGORITHMS); GENETIC ALGORITHMS; Information Science; LEXICOGRAPHY; Linguistics; MAXIMUM ENTROPY; MEGAM(MAXIMUM ENTROPY GA MODEL); Miscellaneous Detection and Detectors; MODELS; NEW YORK TIMES ANNOTED CORPUS; PREDICTIONS; SUPPLIES; TEST SETS; THESES; TOPIC AUTHOR CORRELATION; TOPIC DETECTION
URL: http://www.dtic.mil/docs/citations/ADA514246
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA514246
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10
Experiments on Related Entity Finding Track at TREC 2009
In: DTIC (2009)
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11
Facet Classification of Blogs: Know-Center at the TREC 2009 Blog Distillation Task
In: DTIC (2009)
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12
Linking Semantic and Knowledge Representations in a Multi-Domain Dialogue System
In: DTIC (2007)
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13
A Methodology for End-to-End Evaluation of Arabic Document Image Processing Software
In: DTIC (2006)
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14
Criteria for Appraising Computer-Based Simulations for Teaching Arabic as a Foreign Language
In: DTIC AND NTIS (2005)
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15
Consolidating the Results of the CIRCSIM-Tutor Project and Further Consolidation of the Results of the CIRCSIM-Tutor Project
In: DTIC AND NTIS (2003)
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16
A Survey of Current Paradigms in Machine Translation
In: DTIC (1998)
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17
Focus of Tipster Phases I and 2
In: DTIC (1996)
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18
TMSS Parsing Test, MIL-M-9977J, Appendix G, Loading Procedures Checklists.
In: DTIC AND NTIS (1994)
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19
Eucalyptus: Integrating Natural Language Input with a Graphical User Interface
In: DTIC AND NTIS (1994)
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20
MIL-M-9977J, Appendix E, Integrated Combat Turnaround Procedures, Document Type Definition, MAXIMA Corporation.
In: DTIC AND NTIS (1994)
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