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1
Improving Counterfactual Generation for Fair Hate Speech Detection ...
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2
Contextualizing Hate Speech Classifiers with Post-hoc Explanation ...
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3
Measuring the importance of context when modeling language comprehension [<Journal>]
Garten, Justin [Verfasser]; Kennedy, Brendan [Verfasser]; Sagae, Kenji [Verfasser].
DNB Subject Category Language
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4
Measuring Abstract Mind-Sets Through Syntax: Automating the Linguistic Category Model ...
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5
Supplemental Material, Syntax-LCM_Supplemental - Measuring Abstract Mind-Sets Through Syntax: Automating the Linguistic Category Model ...
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6
Supplemental Material, Syntax-LCM_Supplemental - Measuring Abstract Mind-Sets Through Syntax: Automating the Linguistic Category Model ...
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7
Measuring Abstract Mind-Sets Through Syntax: Automating the Linguistic Category Model ...
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8
Dictionaries and distributions: Combining expert knowledge and large scale textual data content analysis : Distributed dictionary representation [<Journal>]
Garten, Justin [Verfasser]; Hoover, Joe [Sonstige]; Johnson, Kate M. [Sonstige].
DNB Subject Category Language
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9
Decoding the Neural Representation of Story Meanings across Languages ...
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10
Linguistic positivity in historical texts reflects dynamic environmental and psychological factors
Iliev, Rumen; Hoover, Joe; Dehghani, Morteza. - : National Academy of Sciences, 2016
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11
Examining the Role of Religiosity in Moral Cognition, Specifically in the Formation of Sacred Values, and Researching Computational Models for Analyzing Sacred Rhetoric and its Consequential Emotions
In: DTIC (2015)
Abstract: The overall goal of this project was to research and develop computational text analysis techniques for tracking and detecting transformations in moral concerns of different cultural groups with regards to different religious and social issues. Our efforts in this project extended contemporary attempts for detecting linguistic features related to emotions and sentiment by coupling this research with a distinct theoretical emphasis on the underlying cognitive factors that influence moral rhetoric and, perhaps more importantly, how these factors unfold over time in (sometimes) predictable patterns. Apart from providing new techniques for collecting information about properties of decision-making of different groups, our work has added to our basic knowledge of human decision-making and the influence of devoutness to a belief system on decision-making. Our techniques can be vital tools for tracking changes in the modes of decision- making of adversaries, and in understanding how and when sacred values form. Consequently, the research will significantly aid in detecting when rational actors morph in to devoted actors. ; The original document contains color images.
Keyword: *CULTURE; *DECISION MAKING; *GROUP DYNAMICS; *SOCIAL PSYCHOLOGY; *TEXT PROCESSING; BEHAVIOR; CLUSTERING; COGNITION; COMPUTATIONAL SOCIAL SCIENCES; DATA MINING; EMOTIONS; ETHICS; Government and Political Science; INFORMATION EXCHANGE; Information Science; JUDGEMENT(PSYCHOLOGY); LATENT SEMANTIC ANALYSIS; LEARNING MACHINES; MATHEMATICAL MODELS; MATHEMATICAL PREDICTION; MORALITY; ONLINE COMMUNITIES; PATTERN RECOGNITION; POLITICAL PARTIES; Psychology; RELIGION; SEMANTICS; SOCIAL NETWORKS; Sociology and Law; SOFTWARE TOOLS; TEXT ANALYSIS; TWITTER
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA622744
http://www.dtic.mil/docs/citations/ADA622744
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12
The cultural influence model: when accented natural language spoken by virtual characters matters [<Journal>]
Khooshabeh, Peter [Verfasser]; Dehghani, Morteza [Sonstige]; Nazarian, Angela [Sonstige].
DNB Subject Category Language
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13
Causal explanation and fact mutability in counterfactual reasoning
In: Mind & language. - Oxford : Wiley-Blackwell 27 (2012) 1, 55-85
BLLDB
OLC Linguistik
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