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Lexical Link Analysis for the Haiti Earthquake Relief Operation Using Open Data Sources
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In: DTIC (2011)
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| 2 |
Incremental Syntactic Language Models for Phrase-Based Translation
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In: DTIC (2011)
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| 3 |
Feasibility of Leveraging Crowd Sourcing for the Creation of a Large Scale Annotated Resource for Hindi English Code Switched Data: A Pilot Annotation
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In: DTIC (2011)
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| 4 |
Segregation of Whispered Speech Interleaved with Noise or Speech Maskers
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In: DTIC (2011)
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| 6 |
The SRI NIST 2010 Speaker Recognition Evaluation System (PREPRINT)
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In: DTIC (2011)
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| 7 |
Trends in Human-Computer Interaction to Support Future Intelligence Analysis Capabilities
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In: DTIC (2011)
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| 8 |
An Intelligence Process Model Based on a Collaborative Approach
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In: DTIC (2011)
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| 9 |
Entity List Completion Using Set Expansion Techniques
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In: DTIC (2011)
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| 10 |
A Smarter Common Operational Picture: The Application of Abstraction Hierarchies to Naval Command and Control
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In: DTIC (2011)
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| 11 |
Semantic Analysis of Military Relevant Texts for Intelligence Purposes
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In: DTIC (2011)
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| 12 |
Multilingual Content Extraction Extended with Background Knowledge for Military Intelligence
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In: DTIC (2011)
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Abstract:
Written information for military purposes is available in abundance. Documents are written in many languages. The question is how we can automate the content extraction of these documents. One possible approach is based on shallow parsing (information extraction) with application specific combination of analysis results. One example of this, the ZENON research system, does a partial content analysis of some English, Dari, and Tajik texts. Another principal approach for content extraction is based on a combination of deep and shallow parsing with logical inferences on the analysis results. In the project "Multilingual content analysis with semantic inference on military relevant texts" (mIE) we followed the second approach. In this paper, we present the results of the mIE project. First, we briefly contrast the ZENON project to the mIE project. In the main part of the paper, the mIE project is presented. After explaining the combined deep and shallow parsing approach with Head-driven Phrase Structured Grammars, the inference process is introduced. Then we show how background knowledge (WordNet, YAGO) is integrated into the logical inferences to increase the extent, quality, and accuracy of the content extraction. The prototype also is presented. The presentation includes briefing charts. ; Presented at the International Command and Control Research and Technology Symposium (ICCRTS 2011) (16th) held in Quebec City, Canada, on 21-23 June 2011. Published in the Proceedings of the 16th International Command and Control Research and Technology Symposium, June 2011.
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Keyword:
*AUTOMATION; *DATA FUSION; *DOCUMENTS; *EXTRACTION; *FOREIGN LANGUAGES; *INFORMATION PROCESSING; *MILITARY INTELLIGENCE; *MULTILINGUAL CONTENT EXTRACTION; ACCURACY; BRIEFING CHARTS; DEEP PARSING; FOREIGN REPORTS; GERMANY; INFORMATION EXTRACTION; Information Science; Linguistics; LOGICAL INFERENCES; MIE PROJECT; MILITARY APPLICATIONS; Military Intelligence; MULTILINGUAL CONTENT ANALYSIS; NATURAL LANGUAGE; NATURAL LANGUAGE PROCESSING; PARSERS; PARTIAL CONTENT ANALYSIS; QUALITY; SEMANTIC TEXT ANALYSIS; SEMANTICS; SHALLOW PARSING; SYMPOSIA; ZENON PROJECT
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA546910
http://www.dtic.mil/docs/citations/ADA546910
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