Emotion-Cause Pair Extraction

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 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.

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

1 dataset 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

22 shown of 22 papers with code (46 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.

• Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts
  4 Jun 2019 4 repositories listed
  Emotion cause extraction (ECE), the task aimed at extracting the potential causes behind certain emotions in text, has gained much attention in recent years due to its wide applications.
• EmoVerse: Exploring Multimodal Large Language Models for Sentiment and Emotion Understanding
  11 Dec 2024 2 repositories listed
  While Multimodal Large Language Models (MLLMs) demonstrate robust general capabilities, they face considerable challenges in the field of affective computing, particularly in detecting subtle facial expressions and…
• End-to-end Emotion-Cause Pair Extraction via Learning to Link
  25 Feb 2020 2 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  Specifically, our model regards pair extraction as a link prediction task, and learns to link from emotion clauses to cause clauses, i.
• AIMA at SemEval-2024 Task 3: Simple Yet Powerful Emotion Cause Pair Analysis
  19 Jan 2025 1 repository listed
  Subtask 1 revolves around the extraction of textual emotion-cause pairs, where causes are defined and annotated as textual spans within the conversation.
• SemEval-2024 Task 3: Multimodal Emotion Cause Analysis in Conversations
  19 May 2024 1 repository listed
  The ability to understand emotions is an essential component of human-like artificial intelligence, as emotions greatly influence human cognition, decision making, and social interactions.
• PetKaz at SemEval-2024 Task 3: Advancing Emotion Classification with an LLM for Emotion-Cause Pair Extraction in Conversations
  8 Apr 2024 1 repository listed
  In this paper, we present our submission to the SemEval-2023 Task~3 "The Competition of Multimodal Emotion Cause Analysis in Conversations", focusing on extracting emotion-cause pairs from dialogs.
• LastResort at SemEval-2024 Task 3: Exploring Multimodal Emotion Cause Pair Extraction as Sequence Labelling Task
  2 Apr 2024 1 repository listed
  Conversation is the most natural form of human communication, where each utterance can range over a variety of possible emotions.
• MIPS at SemEval-2024 Task 3: Multimodal Emotion-Cause Pair Extraction in Conversations with Multimodal Language Models
  31 Mar 2024 1 repository listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)
  This paper presents our winning submission to Subtask 2 of SemEval 2024 Task 3 on multimodal emotion cause analysis in conversations.
• How to Enhance Causal Discrimination of Utterances: A Case on Affective Reasoning
  4 May 2023 1 repository listed
  noise terms into the conversation process, thereby constructing a structural causal model (SCM).
• Is ChatGPT a Good Sentiment Analyzer? A Preliminary Study
  10 Apr 2023 1 repository listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  Recently, ChatGPT has drawn great attention from both the research community and the public.
• Emotion Prediction Oriented method with Multiple Supervisions for Emotion-Cause Pair Extraction
  24 Feb 2023 1 repository listed
  Emotion-cause pair extraction (ECPE) task aims to extract all the pairs of emotions and their causes from an unannotated emotion text.
• Pair-Based Joint Encoding with Relational Graph Convolutional Networks for Emotion-Cause Pair Extraction
  4 Dec 2022 1 repository listed
  Emotion-cause pair extraction (ECPE) aims to extract emotion clauses and corresponding cause clauses, which have recently received growing attention.
• UECA-Prompt: Universal Prompt for Emotion Cause Analysis
  1 Oct 2022 1 repository listed
  To address the first two problems, this paper proposes a universal prompt tuning method to solve different ECA tasks in the unified framework.
• A Multi-turn Machine Reading Comprehension Framework with Rethink Mechanism for Emotion-Cause Pair Extraction
  16 Sep 2022 1 repository listed
  Our framework can model complicated relations between emotions and causes while avoiding generating the pairing matrix (the leading cause of the label sparsity problem).
• Joint Alignment of Multi-Task Feature and Label Spaces for Emotion Cause Pair Extraction
  9 Sep 2022 1 repository listed
  We first propose a feature-task alignment to explicitly model the specific emotion-&cause-specific features and the shared interactive feature.
• An End-to-End Network for Emotion-Cause Pair Extraction
  2 Mar 2021 1 repository listed
  The task of Emotion-Cause Pair Extraction (ECPE) aims to extract all potential clause-pairs of emotions and their corresponding causes in a document.
• A Symmetric Local Search Network for Emotion-Cause Pair Extraction
  1 Dec 2020 1 repository listed
  Each subnetwork is composed of a clause representation learner and a local pair searcher.
• End-to-End Emotion-Cause Pair Extraction with Graph Convolutional Network
  1 Dec 2020 1 repository listed
  Emotion-cause pair extraction (ECPE), which aims at simultaneously extracting emotion-cause pairs that express emotions and their corresponding causes in a document, plays a vital role in understanding natural languages.
• End-to-End Emotion-Cause Pair Extraction based on Sliding Window Multi-Label Learning
  1 Nov 2020 1 repository listed
  To tackle these shortcomings, we propose two joint frameworks for ECPE: 1) multi-label learning for the extraction of the cause clauses corresponding to the specified emotion clause (CMLL) and 2) multi-label learning…
• ECPE-2D: Emotion-Cause Pair Extraction based on Joint Two-Dimensional Representation, Interaction and Prediction
  1 Jul 2020 1 repository listed
  In recent years, a new interesting task, called emotion-cause pair extraction (ECPE), has emerged in the area of text emotion analysis.
• Effective Inter-Clause Modeling for End-to-End Emotion-Cause Pair Extraction
  1 Jul 2020 1 repository listed
  Emotion-cause pair extraction aims to extract all emotion clauses coupled with their cause clauses from a given document.
• Transition-based Directed Graph Construction for Emotion-Cause Pair Extraction
  1 Jul 2020 1 repository listed
  Emotion-cause pair extraction aims to extract all potential pairs of emotions and corresponding causes from unannotated emotion text.

Syntology lines on 3 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.