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Modeling both Context- and Speaker-Sensitive Dependence for Emotion Detection in Multi-speaker Conversations

https://doi.org/10.24963/ijcai.2019/752

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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IEMOCAP: interactive emotional dyadic motion capture database

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Sentiment Analysis Is a Big Suitcase

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Affective Computing: From Laughter to IEEE

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The SEMAINE Database: Annotated Multimodal Records of Emotionally Colored Conversations between a Person and a Limited Agent

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The Cognitive Consequences of Concealing Feelings

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Memory Fusion Network for Multi-view Sequential Learning

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DialogueRNN: An Attentive RNN for Emotion Detection in Conversations

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Graph Convolutional Networks for Text Classification

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ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection

inferredcites →https://doi.org/10.18653/v1/n18-1193openalex-snapshot

Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos

inferredcites →https://doi.org/10.18653/v1/p16-2037openalex-snapshot

Dimensional Sentiment Analysis Using a Regional CNN-LSTM Model

inferredcites →https://doi.org/10.18653/v1/p17-1081openalex-snapshot

Context-Dependent Sentiment Analysis in User-Generated Videos

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MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations

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Fusing Document, Collection and Label Graph-based Representations with Word Embeddings for Text Classification

inferredcites →https://doi.org/10.3115/v1/d14-1162openalex-snapshot

Glove: Global Vectors for Word Representation

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Sentence-level Emotion Classification with Label and Context Dependence

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Adam: A Method for Stochastic Optimization

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EmotionLines: An Emotion Corpus of Multi-Party Conversations

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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SDTN: Speaker Dynamics Tracking Network for Emotion Recognition in Conversation

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Distribution-Based Emotion Recognition in Conversation

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Unsupervised Domain Adaptation for Emotion Recognition in Conversation

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Adapted Dynamic Memory Network for Emotion Recognition in Conversation

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SMIN: Semi-Supervised Multi-Modal Interaction Network for Conversational Emotion Recognition

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Sentiment- Emotion- and Context-Guided Knowledge Selection Framework for Emotion Recognition in Conversations

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GA2MIF: Graph and Attention Based Two-Stage Multi-Source Information Fusion for Conversational Emotion Detection

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Multi-Party Conversation Modeling for Emotion Recognition

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Two Birds With One Stone: Knowledge-Embedded Temporal Convolutional Transformer for Depression Detection and Emotion Recognition

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MPEG: A Multi-Perspective Enhanced Graph Attention Network for Causal Emotion Entailment in Conversations

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Dynamic Causal Disentanglement Model for Dialogue Emotion Detection

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LineConGraphs : Line Conversation Graphs for Effective Emotion Recognition Using Graph Neural Networks

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Disentangled Instrumentalization Learning for Dialogue Emotion Detection

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M2R2: Missing-Modality Robust Emotion Recognition Framework With Iterative Data Augmentation

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CTNet: Conversational Transformer Network for Emotion Recognition

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SpeechFormer++: A Hierarchical Efficient Framework for Paralinguistic Speech Processing

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RBA-GCN: Relational Bilevel Aggregation Graph Convolutional Network for Emotion Recognition

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Global-View and Speaker-Aware Emotion Cause Extraction in Conversations

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Joint Multi-Scale Multimodal Transformer for Emotion Using Consumer Devices

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Temporal Relation Inference Network for Multimodal Speech Emotion Recognition

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MALN: Multimodal Adversarial Learning Network for Conversational Emotion Recognition

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Multimodal Decoupled Distillation Graph Neural Network for Emotion Recognition in Conversation

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KA-MIN: Knowledge-Aware Multimodal Interaction Network for Emotion Recognition in Conversation

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A Multimodal Coupled Graph Attention Network for Joint Traffic Event Detection and Sentiment Classification

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Learning a Structural Causal Model for Intuition Reasoning in Conversation

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LR-GCN: Latent Relation-Aware Graph Convolutional Network for Conversational Emotion Recognition

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Structure Aware Multi-Graph Network for Multi-Modal Emotion Recognition in Conversations

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GraphCFC: A Directed Graph Based Cross-Modal Feature Complementation Approach for Multimodal Conversational Emotion Recognition

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Long Dialogue Emotion Detection Based on Commonsense Knowledge Graph Guidance

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A Hypergraph Based Contextual Relationship Modeling Method for Multimodal Emotion Recognition in Conversation

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Identity and Modality Attributes Driven Multimodal Fusion Networks for Emotion Recognition in Conversations

inferred← citeshttps://doi.org/10.1117/12.3004687openalex-snapshot

Multi-modal sentiment analysis based on expression and text

inferred← citeshttps://doi.org/10.1145/3394171.3413577openalex-snapshot

Transformer-based Label Set Generation for Multi-modal Multi-label Emotion Detection

inferred← citeshttps://doi.org/10.1145/3394171.3413579openalex-snapshot

Semi-supervised Multi-modal Emotion Recognition with Cross-Modal Distribution Matching

inferred← citeshttps://doi.org/10.1145/3394171.3413949openalex-snapshot

Modeling both Intra- and Inter-modal Influence for Real-Time Emotion Detection in Conversations

inferred← citeshttps://doi.org/10.1145/3423325.3423737openalex-snapshot

Automatic Speech Recognition and Natural Language Understanding for Emotion Detection in Multi-party Conversations

inferred← citeshttps://doi.org/10.1145/3487075.3487164openalex-snapshot

Multimodal Emotion Recognition with Factorized Bilinear Pooling and Adversarial Learning

inferred← citeshttps://doi.org/10.1145/3501409.3501645openalex-snapshot

Dialogue emotion recognition method based on dynamic graph network

inferred← citeshttps://doi.org/10.1145/3536221.3556601openalex-snapshot

Real-Time Multimodal Emotion Recognition in Conversation for Multi-Party Interactions

inferred← citeshttps://doi.org/10.1145/3577190.3614122openalex-snapshot

HIINT: Historical, Intra- and Inter- personal Dynamics Modeling with Cross-person Memory Transformer

inferred← citeshttps://doi.org/10.1145/3603781.3603919openalex-snapshot

Speech emotion recognition algorithm based on bimodality and attention mechanism

inferred← citeshttps://doi.org/10.1145/3622935openalex-snapshot

MHG-ERC: Multi-hypergraph Feature Aggregation Network for Emotion Recognition in Conversations

inferred← citeshttps://doi.org/10.1145/3641584.3641766openalex-snapshot

Multi-Round Reasoning Incorporating Prior Knowledge in Conversational Sentiment Analysis

inferred← citeshttps://doi.org/10.1145/3703619.3706033openalex-snapshot

FP-KDNet: Facial Perception and Knowledge Distillation Network for Emotion Recogniton in Coversation

inferred← citeshttps://doi.org/10.1145/3779232.3779470openalex-snapshot

ALTSA: Adaptive Latent-space Teacher - Student Architecture for Emotion Recognition in Conversation

inferred← citeshttps://doi.org/10.1371/journal.pone.0253124openalex-snapshot

A general model of conversational dynamics and an example application in serious illness communication

inferred← citeshttps://doi.org/10.1371/journal.pone.0312867openalex-snapshot

Low-resource MobileBERT for emotion recognition in imbalanced text datasets mitigating challenges with limited resources

inferred← citeshttps://doi.org/10.1371/journal.pone.0346770openalex-snapshot

EAC-Agent: A deep learning framework for multimodal emotion-aware conversational agent with contextual response generation

inferred← citeshttps://doi.org/10.1609/aaai.v34i05.6309openalex-snapshot

Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network

inferred← citeshttps://doi.org/10.1609/aaai.v34i05.6454openalex-snapshot

Sentiment Classification in Customer Service Dialogue with Topic-Aware Multi-Task Learning

inferred← citeshttps://doi.org/10.1609/aaai.v35i16.17686openalex-snapshot

Multi-modal Multi-label Emotion Recognition with Heterogeneous Hierarchical Message Passing

inferred← citeshttps://doi.org/10.1609/aaai.v35i16.17687openalex-snapshot

RETRACTED: Multi-modal Graph Fusion for Named Entity Recognition with Targeted Visual Guidance

inferred← citeshttps://doi.org/10.1609/aaai.v36i10.21361openalex-snapshot

Is Discourse Role Important for Emotion Recognition in Conversation?

inferred← citeshttps://doi.org/10.1609/aaai.v36i10.21413openalex-snapshot

Hybrid Curriculum Learning for Emotion Recognition in Conversation

inferred← citeshttps://doi.org/10.1609/aaai.v37i11.26541openalex-snapshot

SKIER: A Symbolic Knowledge Integrated Model for Conversational Emotion Recognition

inferred← citeshttps://doi.org/10.1609/aaai.v39i2.32114openalex-snapshot

Dynamic Interactive Bimodal Hypergraph Networks for Emotion Recognition in Conversations

inferred← citeshttps://doi.org/10.18653/v1/2020.coling-main.360openalex-snapshot

An Iterative Emotion Interaction Network for Emotion Recognition in Conversations

inferred← citeshttps://doi.org/10.18653/v1/2020.coling-main.370openalex-snapshot

HiTrans: A Transformer-Based Context- and Speaker-Sensitive Model for Emotion Detection in Conversations

inferred← citeshttps://doi.org/10.18653/v1/2020.coling-main.393openalex-snapshot

MEISD: A Multimodal Multi-Label Emotion, Intensity and Sentiment Dialogue Dataset for Emotion Recognition and Sentiment Analysis in Conversations

inferred← citeshttps://doi.org/10.18653/v1/2020.emnlp-main.291openalex-snapshot

Multi-modal Multi-label Emotion Detection with Modality and Label Dependence

inferred← citeshttps://doi.org/10.18653/v1/2020.findings-emnlp.179openalex-snapshot

Multi-Turn Dialogue Generation in E-Commerce Platform with the Context of Historical Dialogue

inferred← citeshttps://doi.org/10.18653/v1/2020.findings-emnlp.224openalex-snapshot

COSMIC: COmmonSense knowledge for eMotion Identification in Conversations

inferred← citeshttps://doi.org/10.18653/v1/2020.nlpbt-1.1openalex-snapshot

Modulated Fusion using Transformer for Linguistic-Acoustic Emotion Recognition

inferred← citeshttps://doi.org/10.18653/v1/2021.acl-long.123openalex-snapshot

Directed Acyclic Graph Network for Conversational Emotion Recognition

inferred← citeshttps://doi.org/10.18653/v1/2021.acl-long.125openalex-snapshot

Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection

inferred← citeshttps://doi.org/10.18653/v1/2021.acl-long.440openalex-snapshot

MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation

inferred← citeshttps://doi.org/10.18653/v1/2021.acl-long.526openalex-snapshot

Multimodal Multi-Speaker Merger & Acquisition Financial Modeling: A New Task, Dataset, and Neural Baselines

inferred← citeshttps://doi.org/10.18653/v1/2021.acl-long.547openalex-snapshot

DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations

inferred← citeshttps://doi.org/10.18653/v1/2021.findings-emnlp.252openalex-snapshot

A Discourse-Aware Graph Neural Network for Emotion Recognition in Multi-Party Conversation

inferred← citeshttps://doi.org/10.18653/v1/2022.emnlp-main.347openalex-snapshot

Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation

inferred← citeshttps://doi.org/10.18653/v1/2022.naacl-main.306openalex-snapshot

COGMEN: COntextualized GNN based Multimodal Emotion recognitioN

inferred← citeshttps://doi.org/10.18653/v1/2022.naacl-main.416openalex-snapshot

CoMPM: Context Modeling with Speaker’s Pre-trained Memory Tracking for Emotion Recognition in Conversation

inferred← citeshttps://doi.org/10.18653/v1/2023.acl-long.408openalex-snapshot

DualGATs: Dual Graph Attention Networks for Emotion Recognition in Conversations

inferred← citeshttps://doi.org/10.18653/v1/2023.acl-long.606openalex-snapshot

Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations

inferred← citeshttps://doi.org/10.18653/v1/2023.acl-long.824openalex-snapshot

MultiEMO: An Attention-Based Correlation-Aware Multimodal Fusion Framework for Emotion Recognition in Conversations

inferred← citeshttps://doi.org/10.18653/v1/2023.acl-long.861openalex-snapshot

A Facial Expression-Aware Multimodal Multi-task Learning Framework for Emotion Recognition in Multi-party Conversations

inferred← citeshttps://doi.org/10.18653/v1/2023.eacl-main.240openalex-snapshot

Conversational Emotion-Cause Pair Extraction with Guided Mixture of Experts

inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-main.937openalex-snapshot

Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality Interaction

inferred← citeshttps://doi.org/10.18653/v1/2023.findings-acl.883openalex-snapshot

Context or Knowledge is Not Always Necessary: A Contrastive Learning Framework for Emotion Recognition in Conversations

inferred← citeshttps://doi.org/10.21203/rs.3.rs-3871693/v1openalex-snapshot

A Personalized Model Integrating Personality for Joint Dialogue Emotion Classification and Act Recognition

inferred← citeshttps://doi.org/10.2139/ssrn.4884315openalex-snapshot

Trgat-Cs: Common Sense Enhanced Temporal And Relationship Graph Attention Network for Emotion Recognition in Conversations

inferred← citeshttps://doi.org/10.21437/interspeech.2020-1703openalex-snapshot

Conversational Emotion Recognition Using Self-Attention Mechanisms and Graph Neural Networks

inferred← citeshttps://doi.org/10.21437/interspeech.2021-785openalex-snapshot

Speech Emotion Recognition via Multi-Level Cross-Modal Distillation

inferred← citeshttps://doi.org/10.21941/kcss/2021/6openalex-snapshot

Proceedings of the 31th International Conference on Information Modelling and Knowledge Bases (EJC 2021)

inferred← citeshttps://doi.org/10.23919/mipro52101.2021.9596771openalex-snapshot

Machine Learning vs Human Learning

inferred← citeshttps://doi.org/10.24214/jecet.c.13.1.03650openalex-snapshot

TDCIER: A Topic-Driven and Dialogue-Interactive Emotion Recognition Model for Multi-Speaker Dialogue

inferred← citeshttps://doi.org/10.24963/ijcai.2022/562openalex-snapshot

Speaker-Guided Encoder-Decoder Framework for Emotion Recognition in Conversation

inferred← citeshttps://doi.org/10.24963/ijcai.2022/628openalex-snapshot

CauAIN: Causal Aware Interaction Network for Emotion Recognition in Conversations

inferred← citeshttps://doi.org/10.26599/bdma.2022.9020008openalex-snapshot

$p$-Norm Broad Learning for Negative Emotion Classification in Social Networks

inferred← citeshttps://doi.org/10.26599/tst.2023.9010021openalex-snapshot

Deep Broad Learning for Emotion Classification in Textual Conversations

inferred← citeshttps://doi.org/10.3233/faia210475openalex-snapshot

About the Essence of Intelligence – Will Artificial Intelligence (Ever) Cover Human Intelligence?

inferred← citeshttps://doi.org/10.32604/cmc.2023.040202openalex-snapshot

Text Augmentation-Based Model for Emotion Recognition Using Transformers

inferred← citeshttps://doi.org/10.3390/app12115436openalex-snapshot

Domain Adversarial Network for Cross-Domain Emotion Recognition in Conversation

inferred← citeshttps://doi.org/10.3390/app13031660openalex-snapshot

Multi-Hypergraph Neural Networks for Emotion Recognition in Multi-Party Conversations

inferred← citeshttps://doi.org/10.3390/app13063548openalex-snapshot

Joint Syntax-Enhanced and Topic-Driven Graph Networks for Emotion Recognition in Multi-Speaker Conversations

inferred← citeshttps://doi.org/10.3390/app13137807openalex-snapshot

Customer Sentiment Recognition in Conversation Based on Contextual Semantic and Affective Interaction Information

inferred← citeshttps://doi.org/10.3390/app15179622openalex-snapshot

Multimodal Emotion Recognition Based on Graph Neural Networks

inferred← citeshttps://doi.org/10.3390/app16189333openalex-snapshot

Towards Unified Affective AI: A Cross-Modal Survey of Emotion Recognition, Generation, and Control

inferred← citeshttps://doi.org/10.3390/bdcc7020085openalex-snapshot

An Ensemble-Learning-Based Technique for Bimodal Sentiment Analysis

inferred← citeshttps://doi.org/10.3390/electronics12224714openalex-snapshot

Emotion Recognition in Conversations: A Survey Focusing on Context, Speaker Dependencies, and Fusion Methods

inferred← citeshttps://doi.org/10.3390/electronics13132645openalex-snapshot

Hierarchical Cross-Modal Interaction and Fusion Network Enhanced with Self-Distillation for Emotion Recognition in Conversations

inferred← citeshttps://doi.org/10.3390/electronics14050885openalex-snapshot

Multimodal Emotion Recognition Method Based on Domain Generalization and Graph Neural Networks

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