Emotion Recognition in Conversation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

16 leaderboard tables shown for this task, 16 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted. 10 shown of 16 until expanded.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

14 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 83 papers with code (141 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
  11 Oct 2018 534 repositories listed Syntology ran 204 of 659 samples · 455 unverified · 149 pointer-only (licence)
  We introduce a new language representation model called BERT, which stands for Bidirectional Encoder Representations from Transformers.
• Convolutional Neural Networks for Sentence Classification
  25 Aug 2014 118 repositories listed Syntology ran 19 of 77 samples · 58 unverified · 15 pointer-only (licence)
  We report on a series of experiments with convolutional neural networks (CNN) trained on top of pre-trained word vectors for sentence-level classification tasks.
• GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
  26 Jun 2017 71 repositories listed Syntology ran 3 of 4 samples · 1 unverified · 1 pointer-only (licence)
  Generative Adversarial Networks (GANs) excel at creating realistic images with complex models for which maximum likelihood is infeasible.
• Bag of Tricks for Efficient Text Classification
  6 Jul 2016 65 repositories listed Syntology ran 2 of 9 samples · 7 unverified · 2 pointer-only (licence)
  This paper explores a simple and efficient baseline for text classification.
• MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations
  5 Oct 2018 8 repositories listed
  We propose several strong multimodal baselines and show the importance of contextual and multimodal information for emotion recognition in conversations.
• DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition
  16 Dec 2020 4 repositories listed
  Specifically, we first modify the recurrence mechanism of XLNet from segment-level to utterance-level in order to better model the conversational data.
• Structure-Aware Transformer for Graph Representation Learning
  7 Feb 2022 3 repositories listed Syntology ran 4 of 9 samples · 5 unverified
  Here, we show that the node representations generated by the Transformer with positional encoding do not necessarily capture structural similarity between them.
• Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models
  14 Nov 2023 2 repositories listed Syntology ran 5 of 7 samples · 2 unverified · 7 pointer-only (licence)
  Recently, instruction-following audio-language models have received broad attention for audio interaction with humans.
• UniSA: Unified Generative Framework for Sentiment Analysis
  4 Sep 2023 2 repositories listed Syntology ran 6 of 8 samples · 2 unverified
  Sentiment analysis is a crucial task that aims to understand people's emotional states and predict emotional categories based on multimodal information.
• COGMEN: COntextualized GNN based Multimodal Emotion recognitioN
  5 May 2022 2 repositories listed
  Emotions are an inherent part of human interactions, and consequently, it is imperative to develop AI systems that understand and recognize human emotions.
• KNOT: Knowledge Distillation using Optimal Transport for Solving NLP Tasks
  6 Oct 2021 2 repositories listed
  We propose a new approach, Knowledge Distillation using Optimal Transport (KNOT), to distill the natural language semantic knowledge from multiple teacher networks to a student network.
• DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations
  3 Jun 2021 2 repositories listed
  Emotion Recognition in Conversations (ERC) has gained increasing attention for developing empathetic machines.
• DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation
  30 Aug 2019 2 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  Emotion recognition in conversation (ERC) has received much attention, lately, from researchers due to its potential widespread applications in diverse areas, such as health-care, education, and human resources.
• DialogueRNN: An Attentive RNN for Emotion Detection in Conversations
  1 Nov 2018 2 repositories listed
  Emotion detection in conversations is a necessary step for a number of applications, including opinion mining over chat history, social media threads, debates, argumentation mining, understanding consumer feedback in…
• Context-Dependent Sentiment Analysis in User-Generated Videos
  1 Jul 2017 2 repositories listed
  Multimodal sentiment analysis is a developing area of research, which involves the identification of sentiments in videos.
• Long-Short Distance Graph Neural Networks and Improved Curriculum Learning for Emotion Recognition in Conversation
  21 Jul 2025 1 repository listed
  Emotion Recognition in Conversation (ERC) is a practical and challenging task.
• Dynamic Parameter Memory: Temporary LoRA-Enhanced LLM for Long-Sequence Emotion Recognition in Conversation
  11 Jul 2025 1 repository listed
  Recent research has focused on applying speech large language model (SLLM) to improve speech emotion recognition (SER).
• Recent Trends of Multimodal Affective Computing: A Survey from NLP Perspective
  11 Sep 2024 1 repository listed
  The goal of this survey is to explore the current landscape of multimodal affective research, identify development trends, and highlight the similarities and differences across various tasks, offering a comprehensive…
• Beyond Silent Letters: Amplifying LLMs in Emotion Recognition with Vocal Nuances
  31 Jul 2024 1 repository listed
  Emotion recognition in speech is a challenging multimodal task that requires understanding both verbal content and vocal nuances.
• Tracing Intricate Cues in Dialogue: Joint Graph Structure and Sentiment Dynamics for Multimodal Emotion Recognition
  31 Jul 2024 1 repository listed
  Furthermore, GraphSmile is effortlessly applied to multimodal sentiment analysis in conversation (MSAC), forging a unified multimodal affective model capable of executing MERC and MSAC tasks.
• BiosERC: Integrating Biography Speakers Supported by LLMs for ERC Tasks
  5 Jul 2024 1 repository listed
  In the Emotion Recognition in Conversation task, recent investigations have utilized attention mechanisms exploring relationships among utterances from intra- and inter-speakers for modeling emotional interaction…
• FeedForward at SemEval-2024 Task 10: Trigger and sentext-height enriched emotion analysis in multi-party conversations
  20 Jun 2024 1 repository listed
  This paper reports on an innovative approach to Emotion Recognition in Conversation and Emotion Flip Reasoning for the SemEval-2024 competition with a specific focus on analyzing Hindi-English code-mixed language.
• Multi-Task Multi-Modal Self-Supervised Learning for Facial Expression Recognition
  16 Apr 2024 1 repository listed
  To that end, we examine the performance of learning through different combinations of self-supervised tasks on the facial expression recognition downstream task.
• Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in Conversation
  29 Mar 2024 1 repository listed
  To achieve this, we utilize label encodings as anchors to guide the learning of utterance representations and design an auxiliary loss to ensure the effective separation of anchors for similar emotions.
• Curriculum Learning Meets Directed Acyclic Graph for Multimodal Emotion Recognition
  27 Feb 2024 1 repository listed
  Emotion recognition in conversation (ERC) is a crucial task in natural language processing and affective computing.
• TelME: Teacher-leading Multimodal Fusion Network for Emotion Recognition in Conversation
  16 Jan 2024 1 repository listed
  In this paper, we propose Teacher-leading Multimodal fusion network for ERC (TelME).
• Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimodal Emotion Recognition
  18 Nov 2023 1 repository listed
  In this paper, we propose a method for joint modality fusion and graph contrastive learning for multimodal emotion recognition (Joyful), where multimodality fusion, contrastive learning, and emotion recognition are…
• Accumulating Word Representations in Multi-level Context Integration for ERC Task
  6 Nov 2023 1 repository listed
  In order to identify the emotion of a focal sentence, it is crucial to model its meaning fused with contextual information.
• A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations
  31 Oct 2023 1 repository listed
  Emotion recognition in conversations (ERC), the task of recognizing the emotion of each utterance in a conversation, is crucial for building empathetic machines.
• From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed Dialogues
  19 Oct 2023 1 repository listed
  Recognizing that emotional intelligence encompasses a comprehension of worldly knowledge, we propose an innovative approach that integrates commonsense information with dialogue context to facilitate a deeper…

Syntology lines on 8 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.