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Using a Bayesian Model to Combine LDA Features with Crowdsourced Responses
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In: DTIC (2013)
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| 2 |
Integrating Hard and Soft Information Sources for D2D Using Controlled Natural Language
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In: DTIC (2012)
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Semantic Analysis of Military Relevant Texts for Intelligence Purposes
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In: DTIC (2011)
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Recognizing Connotative Meaning in Military Chat Communications
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In: DTIC (2009)
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| 6 |
Deep Versus Broad Methods for Automatic Extraction of Intelligence Information From Text
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In: DTIC (2005)
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Abstract:
Extraction of intelligence from text data is increasingly becoming automated as software and network technology increases in speed and scope. However, enormous amounts of text data are often available and one must carefully design a data mining strategy to obtain the relevant nuggets of gold from the mountains of useless dross. Two strategies can be tried. A deep approach is to use a few strong clues to find reasonable sentence candidates, then apply linguistic restrictions to find and extract key information (if any) surrounding the candidates. A broad approach is to focus on large numbers of weaker clues such as specific words whose implications can be combined to rate sentences and present those of high likelihood of relevance. In the work reported here, we tested the deep approach on military intelligence reports about enemy positions, which were relatively short text extracts, and we tested the broad approach on news stories from the World Wide Web involving terrorism, which presented a large volume of text information. ; Presented at the International Command and Control Research and Technology Symposium (ICCRTS) (10th) held in McLean, VA on 13-16 Jun 2005. Published in the Proceedings of the International Command and Control Research and Technology Symposium (ICCRTS) (10th), 2005. Briefing charts included. Sponsored in part by DARPA. The original document contains color images.
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Keyword:
*EXTRACTION; *INFORMATION RETRIEVAL; *MILITARY INTELLIGENCE; *NATURAL LANGUAGE; *TEXT INFORMATION; AUTOMATIC; DATA MINING; Information Science; INTERNET; Linguistics; Military Intelligence; PARSERS; PARSING; SEMANTICS; SENTENCES; SYMPOSIA; SYNTAX; WORDS(LANGUAGE)
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URL: http://www.dtic.mil/docs/citations/ADA464116
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA464116
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| 7 |
Robustness Versus Fidelity in Natural Language Understanding
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In: DTIC (2004)
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| 8 |
HITIQA: A Data Driven Approach to Interactive Analytical Question Answering
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In: DTIC (2004)
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| 10 |
HITIQA: An Interactive Question Answering System. A Preliminary Report
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In: DTIC (2003)
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| 11 |
Inducing Multilingual Text Analysis Tools via Robust Projection across Aligned Corpora
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In: DTIC (2001)
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| 12 |
Converting Dependency Structures to Phrase Structures
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In: DTIC (2001)
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| 13 |
Facilitating Treebank Annotation Using a Statistical Parser
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In: DTIC (2001)
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| 14 |
UMass/Hughes: Description of the Circus System Used for MUC-5
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In: DTIC (1993)
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| 15 |
GE-CMU: Description of the Shogun System Used for MUC-5
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In: DTIC (1993)
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| 18 |
Elements of a Computational Model of Cooperative Response Generation
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In: DTIC (1989)
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| 19 |
The Rate of Progress in Natural Language Processing
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In: DTIC (1987)
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| 20 |
Transportability and Generality in a Natural-Language Interface System
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In: DTIC (1983)
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