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Learning to Recognize Features of Valid Textual Entailments
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In: DTIC (2006)
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142 |
A Methodology to Predict Specific Communication Themes from Overall Communication Volume for Individuals and Teams
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In: DTIC (2006)
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143 |
Integrating Ontologies into Multiagent Systems Engineering
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In: DTIC (2006)
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144 |
Toward an Interagency Language Roundtable Based Assessment of Speech-to-Speech Translation Capabilities
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In: DTIC (2006)
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145 |
Dealing with Out of Domain Questions in Virtual Characters
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In: DTIC (2006)
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146 |
Experimental Facility for Measuring the Impact of Environmental Noise and Speaker Variation on Speech-to-Speech Translation Devices
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In: DTIC (2006)
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147 |
Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification
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In: DTIC (2006)
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148 |
Edge-Splitting in a Cumulative Multimodal System, for a No-Wait Temporal Threshold on Information Fusion, Combined with an Under-Specified Display
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In: DTIC (2006)
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149 |
On Speaker-Specific Prosodic Models for Automatic Dialog Act Segmentation of Multi-Party Meetings
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In: DTIC (2006)
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150 |
Using Linguistic Analysis to Identify High Performing Teams
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In: DTIC (2006)
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Abstract:
Effective military teams assess ever-changing situations, generate ideas to improve situations, and make decisions, often in threatening environments. Being able to identify teams that perform these tasks effectively would be beneficial for supervisors, trainers, and even group members. This paper examines the usefulness of linguistic analysis (specifically the Linguistic Inquiry and Word Count, LIWC) in identifying potential high performing teams. In a series of studies, distributed and face-to-face groups performed a number of different tasks. The transcripts of all communications among group members were submitted to the LIWC. Correlations were performed between group task performance and the use of many linguistic categories. Across many studies that included groups that differed in size, cohesion level, communication medium, and group membership, results indicated that linguistic analysis is useful in identifying high performing groups. For example, the more group members expressed negative emotions, talked about social processes, and used the present tense as they communicated with one another, the worse the group performed on several tasks. Implications for command-and-control are discussed. ; Presented at the Command and Control Research and Technology Symposium (CCRTS) held in San Diego, CA on 20-22 Jun 2006. Published in the Proceedings of the Command and Control Research and Technology Symposium (CCRTS), 2006. Briefing charts included. The original document contains color images.
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Keyword:
*GROUP COMMUNICATION; *GROUP PERFORMANCE; *LINGUISTIC ANALYSIS; *PERFORMANCE(HUMAN); *TEAMS(PERSONNEL); *WORDS(LANGUAGE); Linguistics; LIWC(LINGUISTIC INQUIRY AND WORD COUNT); Personnel Management and Labor Relations; Psychology; SOCIAL COMMUNICATION; SYMPOSIA; WORD USE
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA463318 http://www.dtic.mil/docs/citations/ADA463318
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153 |
Text Analysis Using Automated Language Translators
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In: DTIC (2006)
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154 |
The 2005 AFRL/HEC One-Speaker Detection Systems
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In: DTIC (2006)
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155 |
Enhancing Mental Readiness in Military Personnel
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In: DTIC (2006)
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156 |
Command of Coalition Operations in a Multicultural Environment: A Canadian Naval Niche? The Case Study of Operation Apollo
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In: DTIC (2006)
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157 |
Branching Storylines in Virtual Reality Environments for Leadership Development
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In: DTIC (2006)
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158 |
The Mixer and Transcript Reading Corpora: Resources for Multilingual, Crosschannel Speaker Recognition Research
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In: DTIC (2006)
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159 |
Combining Evidence from Homologous Datasets
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In: DTIC (2006)
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160 |
The European Server for Ionospheric Specification and Forecasting: Final Results from DIAS Project
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In: DTIC (2006)
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