Emotion and Attention
Emotional pain modulation : an effect of emotion, attention or empathy for pain
... of emotion on pain is ...of emotion and attention on pain were extensively studied (de Wied & Verbaten, 2001; Kenntner-Mabiala, Andreatta, Wieser, Muhlberger & Pauli, 2008; Villemure & ...
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Speech Emotion Recognition Using Convolutional Recurrent Neural Networks with Attention Model
... extract emotion-relevant features from short term ...target emotion. Inspired by [14], an attention model is used to weight the output sequence of BRNN and get the final emotion ...an ...
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PKUSE at SemEval 2019 Task 3: Emotion Detection with Emotion Oriented Neural Attention Network
... This paper presents the system in SemEval- 2019 Task 3, “EmoContext: Contextual Emo- tion Detection in Text”. We propose a deep learning architecture with bidirectional LSTM networks, augmented with an emotion- ...
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CAiRE HKUST at SemEval 2019 Task 3: Hierarchical Attention for Dialogue Emotion Classification
... ent emotion related tasks, such as sentiment clas- sification (Tang et ...2016), emotion classifica- tion (Xu et al., 2018), and emotion intensity pre- diction (Park et ...2015), ...
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Using EEG to Examine the Role of Attention, Working Memory, Emotion, and Imagination in Narrative Transportation
... Corresponding additional alpha and theta analyses were also performed using reference free Global Field Power (GFP) analysis (Lehmann and Skrandes, 1980; Vecchiato et al., 2010). This produces the GFP time series for ...
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Context aware Interactive Attention for Multi modal Sentiment and Emotion Analysis
... context-aware attention module to ex- ploit the correspondence among the neighbor- ing ...and emotion analysis over var- ious existing state-of-the-art ...
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NLP at IEST 2018: BiLSTM Attention and LSTM Attention via Soft Voting in Emotion Classification
... Implicit Emotion Shared ...with attention mechanism (BiLSTM-Attention) and a LSTM architecture with attention mechanism (LSTM-Attention), and try different dropout rates based on these ...
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Convolutional Attention Networks for Multimodal Emotion Recognition from Speech and Text Data
... modal emotion recognition from vision and ...proposed attention model performs much better in classifying emotion from speech and text data con- tained in the CMU-MOSEI ...
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Positive emotion expands visual attention Or maybe not
... of attention globally (to a whole stimulus) or locally (to a specific section of a ...of attention, while a focus towards the local feature shows a narrowing of attentional resources (Navon, ...induce ...
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Emotion has no impact on attention in a change detection flicker task
... of emotion on ...between emotion and visual attention due to individual differences is demonstrated in a study conducted by Grol and De Raedt ...of emotion on visual ...on emotion and ...
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15 Minutes of Attention in Class: Variability of Heart Rate, Personality, Emotion and Chronotype
... the Attention processes with the ...AS, emotion and ...with attention was also used by Chang and Huang (2012), who in a laboratory procedure, presented the partici- pants with two types of tasks (low ...
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Emotion dysregulation in attention-deficit/hyperactivity disorder and borderline personality disorder
... There is ongoing debate on the overlap between Attention-Deficit/Hyperactivity Disorder (ADHD) and Borderline Personality Disorder (BPD), particularly regarding emotion dysregulation (ED). In this paper, we ...
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EmoAtt at EmoInt 2017: Inner attention sentence embedding for Emotion Intensity
... on Emotion Intensity, which we tackle based on the premise of representation learning without the usage of external information, such as lexi- ...intra-sentence attention on top of word em- beddings to ...
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Multi Modal Sequence Fusion via Recursive Attention for Emotion Recognition
... contextualised attention over a set of recurrent view-specific state ...of emotion recognition from audio, visual, and textual data on three large- scale ...
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Interpretable relevant emotion ranking with event driven attention
... relevant emotion rank- ing model with event-driven attention ...relevant emotion ranking (RER) by discriminating relevant emotions from irrelevan- t ones and only learn the rankings of the relevant ...
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Interpretable Relevant Emotion Ranking with Event Driven Attention
... word-level attention that pays more attentions to emotion-associated words, such as ‘chill’ which may only evoke the emotion “Sad”, the event- driven attentions can find words indicating latent ...
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CLP at SemEval 2019 Task 3: Multi Encoder in Hierarchical Attention Networks for Contextual Emotion Detection
... contextual emotion in a conversation, we propose a HAN based deep learning model that combines multiple encoding methods including ELMo, hand-craft features and Bi-LSTM-Attention ...
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Early Posterior Negativity as Facial Emotion Recognition Index in Children With Attention Deficit Hyperactivity Disorder
... visual attention and initial sensory encoding (Hillyard, Man- gun, Woldorff, & Luck, 1995; Eimer & Holmes, ...by emotion in ...facial emotion is controversial (Haxby, Hoffman, & Gobbini, ...
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Adversarial Attention Modeling for Multi dimensional Emotion Regression
... and emotion classification (Wang et ...in emotion regres- sion, attention mechanism is supposed to be ef- fective on determining what words are emotional for rating dimensional emotion ...of ...
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A Bilingual Attention Network for Code switched Emotion Prediction
... considerable attention in the NLP community (Adel et ...predicting emotion in code-switching ...predict emotion in code- switching text with various external ...and attention mechanism, while ...
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