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Entity List Completion Using Set Expansion Techniques
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In: DTIC (2011)
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| 2 |
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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| 3 |
Recognizing Connotative Meaning in Military Chat Communications
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In: DTIC (2009)
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Delft University at the TREC 2009 Entity Track: Ranking Wikipedia Entities
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In: DTIC (2009)
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| 5 |
Patent Retrieval in Chemistry based on Semantically Tagged Named Entities
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In: DTIC (2009)
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| 8 |
Deep Versus Broad Methods for Automatic Extraction of Intelligence Information From Text
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In: DTIC (2005)
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| 10 |
Analysis of Free-Form Battlefield Reports with Shallow Parsing Techniques
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In: DTIC AND NTIS (2004)
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| 11 |
Robustness Versus Fidelity in Natural Language Understanding
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In: DTIC (2004)
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| 12 |
HITIQA: A Data Driven Approach to Interactive Analytical Question Answering
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In: DTIC (2004)
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| 13 |
From Unstructured to Structured Information in Military Intelligence - Some Steps to Improve Information Fusion
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In: DTIC (2004)
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| 14 |
Ontological Approach to Military Knowledge Modeling and Management
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In: DTIC AND NTIS (2004)
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| 15 |
HITIQA: An Interactive Question Answering System. A Preliminary Report
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In: DTIC (2003)
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| 16 |
Automatic Predicate Argument Analysis of the Penn TreeBank
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In: DTIC (2001)
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| 17 |
BBN: Description of the PLUM System as Used for MUC-6
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In: DTIC (1995)
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| 18 |
UMass/Hughes: Description of the Circus System Used for MUC-5
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In: DTIC (1993)
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| 19 |
BBN: Description of the PLUM System as Used for MUC-5
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In: DTIC (1993)
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| 20 |
Document Filtering Using Semantic Information from a Machine Readable Dictionary
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In: DTIC (1993)
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