| 22 |
Insights from the Women in Combat Symposium
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In: DTIC (2013)
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| 23 |
Automated Extraction and Characterisation of Social Network Data from Unstructured Sources -- An Ontology-Based Approach
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In: DTIC (2013)
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| 24 |
Interacting with Multi-Robot Systems Using BML
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In: DTIC (2013)
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| 25 |
Making Semantic Information Work Effectively for Degraded Environments
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In: DTIC (2013)
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| 26 |
Accelerating Exploitation of Low-grade Intelligence through Semantic Text Processing of Social Media
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In: DTIC (2013)
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| 28 |
QUT Para at TREC 2012 Web Track: Word Associations for Retrieving Web Documents
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In: DTIC (2012)
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| 30 |
Phoneme Class Based Adaptation for Mismatch Acoustic Modeling of Distant Noisy Speech (Preprint)
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In: DTIC (2012)
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| 31 |
Conference Report: Cultural and Linguistic Advancement for Mission Success: Enhancing Language, Regional and Cultural Capabilities Across Whole of Government for an Effective COIN Strategy
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In: DTIC (2012)
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| 33 |
Machine Recognition vs Human Recognition of Voices
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In: DTIC (2012)
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| 34 |
Speaker Clustering for a Mixture of Singing and Reading (Preprint)
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In: DTIC (2012)
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| 35 |
Applications of Lexical Link Analysis Web Service for Large-Scale Automation, Validation, Discovery, Visualization, and Real-Time Program-Awareness
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In: DTIC (2012)
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| 36 |
Compressed Domain Automatic Level Control Based on ITU-T G.722.2
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In: DTIC (2012)
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| 37 |
Integrating Hard and Soft Information Sources for D2D Using Controlled Natural Language
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In: DTIC (2012)
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Abstract:
We introduce an approach to integrating access to hard and soft information sources to provide better exploitation of all available sources in the context of coalition data-to-decision (D2D) chains. In terms of hard (sensor-based) sources we show how intelligence, surveillance, and reconnaissance (ISR) assets can be represented at a relatively high level in controlled natural language, and how this allows the automatic assignment of sensing assets to D2D tasks. We demonstrate how the use of Controlled English (CE) a type of controlled natural language designed to be readable by a native English speaker whilst representing information in a structured, unambiguous form supports the informed sharing of D2D tasks and assets between collaborating users in a coalition environment. Moreover, we show how CE can be used in the automatic extraction of information from unstructured and semi-structured text information sources, providing us with a uniform way to integrate these soft sources with the aforementioned hard sources. ; Presented at the 15th International Conference on Information Fusion held in Sinapore on 9-12 July 2012. Sponsored in part by Office of Naval Research and Office of Naval Research Global.
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Keyword:
*INFORMATION SYSTEMS; *NATURAL LANGUAGE; CONTROL; D2D(DATA-TO-DECISION); DECISION MAKING; ENGLISH LANGUAGE; Information Science; Linguistics; SYMPOSIA
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA617794
http://www.dtic.mil/docs/citations/ADA617794
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| 38 |
SAWUS: Siena's Automatic Wikipedia Update System
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In: DTIC (2012)
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| 39 |
Aligning Learning Capability with Strategy: A Training Needs Assessment (TNA) Case Study
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In: DTIC (2012)
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| 40 |
Learning for Microblogs with Distant Supervision: Political Forecasting with Twitter
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In: DTIC (2012)
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