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1
Toward an infrastructure for data-driven multimodal communication research
Abstract: Research into the multimodal dimensions of human communication faces a set of distinctive methodological challenges. Collecting the datasets is resource-intensive, analysis often lacks peer validation, and the absence of shared datasets makes it difficult to develop standards. External validity is hampered by small datasets, yet large datasets are intractable. Red Hen Lab spearheads an international infrastructure for data-driven multimodal communication research, facilitating an integrated cross-disciplinary workflow. Linguists, communication scholars, statisticians, and computer scientists work together to develop research questions, annotate training sets, and develop pattern discovery and machine learning tools that handle vast collections of multimodal data, beyond the dreams of previous researchers. This infrastructure makes it possible for researchers at multiple sites to work in real-time in transdisciplinary teams. We review the vision, progress, and prospects of this research consortium.
Keyword: automated parsing; corpora; machine learning; multimodality; research consortia
URL: https://doi.org/10.1515/lingvan-2017-0041
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2
Search for dark matter produced in association with heavy-flavor quark pairs in proton-proton collisions at [Formula: see text]
Sirunyan, A. M.; Tumasyan, A.; Adam, W.. - : Springer Berlin Heidelberg, 2017
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3
The artful mind: Cognitive science and the riddle of human creativity
In: Pragmatics. - Amsterdam : John Benjamins Publishing Company 18 (2008) 3, 551
OLC Linguistik
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4
Visual thinking: creating effective learning objects
Turner, M. - : University of the Sunshine Coast, 2007
BASE
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5
Event generator tunes obtained from underlying event and multiparton scattering measurements.
BASE
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6
TMPM.ado: The Trauma Mortality Prediction Model is Robust to ICD-9 and AIS Coding Lexicons
BASE
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