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Hits 1 – 2 of 2
1
Linking Semantic and Knowledge Representations in a Multi-Domain Dialogue System
Dzikovska, Myroslave O.
;
Allen, James F.
;
Swift, Mary D.
In: DTIC (2007)
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2
Techniques for Automatically Generating Biographical Summaries from News Articles
Esparza, Matthew W.
In: DTIC (2007)
Abstract:
The work of manually creating a biographical summary from multiple information sources is both time-intensive and detail-oriented. Automating the task is also non-trivial because of the many natural language processing (NLP) areas that must be used to efficiently extract the relevant facts. Yet, no study has been done to determine how powerful a biographical summarization system must be to achieve the basic goal of filling slots in a biography template. Equally important, the simplest approaches to discovering and extracting biographical information from text have not been implemented. Further, no standard evaluations have been developed for summarization in general, but an evaluation methodology for this research is described and performed. ; The original document contains color images.
Keyword:
*ABS(AUTOMATIC BIOGRAPHICAL SUMMARIZATION)
;
*AUTOMATION
;
*BIOGRAPHIES
;
*EXTRACTION
;
*INFORMATION PROCESSING
;
*INFORMATION RETRIEVAL
;
*NATURAL LANGUAGE
;
*NEWS ARTICLES
;
ABSTRACTS
;
ACCURACY
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ADS(AUTOMATIC DOCUMENT SUMMARIZATION)
;
ARTIFICIAL INTELLIGENCE
;
AUTOMATIC SUMMARIZATION
;
BIOGRAPHY GENERATION
;
Cybernetics
;
DATA ACQUISITION
;
DOSSIER CREATION
;
FAIR-ISAAC ENTITY DISAMBIGUATION SYSTEM
;
INFORMATION EXTRACTION
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Information Science
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JAVA PROGRAMMING LANGUAGE
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KEYWORD EXTRACTION
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Linguistics
;
MDS(MULTI-DOCUMENT SUMMARIZATION)
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MERGE DATA
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METHODOLOGY
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MULTI-DOCUMENT SUMMARIZATION
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NLP(NATURAL LANGUAGE PROCESSING)
;
PRECISION
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PROFILES
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REDUNDANCY
;
REDUNDANCY REMOVAL
;
SENTENCE FILTRATION
;
TEMPLATES
;
TERRORISTS
;
TEST AND EVALUATION
;
THESES
URL:
http://www.dtic.mil/docs/citations/ADA474074
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA474074
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