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Methods for Evaluating Text Extraction Toolkits: An Exploratory Investigation
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In: DTIC (2015)
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How Autism Affects Speech Understanding in Multitalker Environments
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In: DTIC (2014)
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How Autism Affects Speech Understanding in Multitalker Environments
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In: DTIC (2013)
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| 4 |
Effects of Speech Intensity on the Callsign Acquisition Test (CAT) and Modified Rhyme Test (MRT) Presented in Noise
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In: DTIC (2012)
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| 5 |
Performance Assessments of Two-Way, Free-Form, Speech-to-Speech Translation Systems for Tactical Use
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In: DTIC (2011)
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| 6 |
Strengthening Homeland Security through Improved Foreign Language Capability
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In: DTIC (2011)
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| 7 |
Special Operations Forces Language and Culture Needs Assessment: Defense Language Proficiency Test (DLPT)
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In: DTIC (2010)
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| 8 |
Relevance Feedback based on Constrained Clustering: FDU at TREC 09
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In: DTIC (2009)
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| 9 |
Proactive Intelligence (PAINT) Simulated Exploration of Executable Design Strategies (SEEDS)
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In: DTIC (2009)
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| 10 |
Linking Semantic and Knowledge Representations in a Multi-Domain Dialogue System
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In: DTIC (2007)
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| 11 |
Techniques for Automatically Generating Biographical Summaries from News Articles
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In: DTIC (2007)
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| 12 |
The Effect of Bilingual Term List Size on Dictionary-Based Cross-Language Information Retrieval
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In: DTIC (2006)
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| 14 |
An Analysis of Specware and Its Usefulness in the Verification of High Assurance Systems
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In: DTIC (2006)
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| 16 |
Headline Generation for Written and Broadcast News
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In: DTIC (2005)
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| 17 |
Evaluation of Speech Synthesis Systems using the Speech Reception Threshold Methodology
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In: DTIC (2005)
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| 18 |
Criteria for Appraising Computer-Based Simulations for Teaching Arabic as a Foreign Language
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In: DTIC AND NTIS (2005)
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| 19 |
Minimum Bayes-Risk Decoding for Statistical Machine Translation
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In: DTIC (2004)
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| 20 |
HITIQA: Towards Analytical Question Answering
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Small, Sharon; Strzalkowski, Tomek; Liu, Ting; Ryan, Sean; Salkin, Robert; Shimizu, Nobuyaki; Kantor, Paul; Kelly, Diane; Rittman, Robert; Wacholder, Nina
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In: DTIC (2004)
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Abstract:
In this paper we describe the analytic question answering system HITIQA (High- Quality Interactive Question Answering) which has been developed over the last 2 years as an advanced research tool for information analysts. HITIQA is an interactive opendomain question answering technology designed to allow analysts to pose complex exploratory questions in natural language and obtain relevant information units to prepare their briefing reports. The system uses novel data-driven semantics to conduct a clarification dialogue with the user that explores the scope and the context of the desired answer space. The system has undergone extensive hands-on evaluations by a group of intelligence analysts. This evaluation validated the overall approach in HITIQA but also exposed limitations of the current prototype.
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Keyword:
*ARTIFICIAL INTELLIGENCE; *LINGUISTICS; *NATURAL LANGUAGE; ANALYSTS; INFORMATION RETRIEVAL; LIMITATIONS; Linguistics; PROTOTYPES; REPORTS; TEST AND EVALUATION
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA459112
http://www.dtic.mil/docs/citations/ADA459112
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