CUBISM: Belief, anomaly and social constructs

Yorick Wilks; Micah Clark; Tomas By; Adam Dalton; Ian Perera

doi:10.1075/is.15.3.02wil

CUBISM: Belief, anomaly and social constructs

Yorick Wilks, Micah Clark, Tomas By, Adam Dalton, Ian Perera

Applied Research Laboratory (ARL)

Research output: Contribution to journal › Article › peer-review

Abstract

We introduce the CUBISM system for the analysis and deep understanding of multi-participant dialogues. CUBISM brings together two typically separate forms of discourse analysis: semantic analysis and sociolinguistic analysis. In the paper proper, we describe and illustrate major components of the CUBISM system, and discuss the challenge posed by the system's ultimate purpose, which is to automatically detect anomalous changes in participants' expressed or implied beliefs about the world and each other, including shifts toward or away from cultural and community norms.

Original language	English (US)
Pages (from-to)	388-403
Number of pages	16
Journal	Interaction Studies
Volume	15
Issue number	3
DOIs	https://doi.org/10.1075/is.15.3.02wil
State	Published - 2014

All Science Journal Classification (ASJC) codes

Communication
Language and Linguistics
Animal Science and Zoology
Linguistics and Language
Human-Computer Interaction

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AU - Clark, Micah

AU - By, Tomas

AU - Dalton, Adam

AU - Perera, Ian

N1 - Publisher Copyright: © John Benjamins Publishing Company.

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AB - We introduce the CUBISM system for the analysis and deep understanding of multi-participant dialogues. CUBISM brings together two typically separate forms of discourse analysis: semantic analysis and sociolinguistic analysis. In the paper proper, we describe and illustrate major components of the CUBISM system, and discuss the challenge posed by the system's ultimate purpose, which is to automatically detect anomalous changes in participants' expressed or implied beliefs about the world and each other, including shifts toward or away from cultural and community norms.

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CUBISM: Belief, anomaly and social constructs

Abstract

All Science Journal Classification (ASJC) codes

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