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The core of the paper discusses the processes that model and synchronize non-verbal features with verbal features even when dealing with unknown context and/or limited contextual information.
Nominal features (case, person/number agreement, possessive agreement) and verbal features (tense, aspect, modality, and voice) are indicated with special tags.
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Along with "retard" and "spaz", it's a prominent verbal feature of the bullies' toolkit.
In previous studies, Sanchez-Cortes et al. [7] demonstrated the correlation of personality traits with the non-verbal features extracted from the ELEA corpus.
In our formulation, we have a set of non-verbal features extracted from the ELEA corpus videos, represented as X=x 1..N, where each i represents the features from a single video sample.
This time the video was watched with sound, taking note of talk in the visual context, including para-verbal features specifically pitch to focus on emphasis placed through verbal interactions.
We use feature analysis and multi-task learning methods in conjunction with the non-verbal features and crowd-sourced annotations from the Video bLOG (VLOG) corpus to perform a multi-domain and multi-task prediction of personality traits.
Table 1 List of non-verbal features extracted from the ELEA dataset Feature ID Features Description 1 4 Speaking status Speech segments of the target person 5 8 Interruptions 9 18 Prosodic speech features Pitch 19 28 Energy 29 32 Visual activity Head motion 33 37 Body activity 38 59 wMEI Motion template-based visual activity features 60 73 Visual focus of attention Visual attention features.
Field notes were recorded by another member of the research team during each focus group to capture contextual and non-verbal features.
Observation considered both verbal and non-verbal features including: how case-finding questions are framed and asked; events leading up to questioning; patient verbal and non-verbal reactions and responses and overall style of the consultation.
rising intonation word, continuing intonation ↑word talk higher than the prior talk ↓word talk lower than the prior talk °word° talk quieter than the surrounding talk WORD talk louder than the surrounding talk word emphasis word- cut-off word hh outbreath.hh inbreath (word) word in doubt unclear word ((text)) non-verbal features of the interaction.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com