Emotion Cause 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

12 shown of 12 papers with code (27 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.
• RTHN: A RNN-Transformer Hierarchical Network for Emotion Cause Extraction
  4 Jun 2019 3 repositories listed Syntology ran 0 of 4 samples · 4 unverified · 4 pointer-only (licence)
  The emotion cause extraction (ECE) task aims at discovering the potential causes behind a certain emotion expression in a document.
• 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.
• 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.
• 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.
• 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.
• Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction
  7 Jun 2021 1 repository listed
  To investigate the degree of reliance of existing ECE models on clause relative positions, we propose a novel strategy to generate adversarial examples in which the relative position information is no longer the…
• 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.
• Recognizing Emotion Cause in Conversations
  22 Dec 2020 1 repository listed
  We address the problem of recognizing emotion cause in conversations, define two novel sub-tasks of this problem, and provide a corresponding dialogue-level dataset, along with strong Transformer-based baselines.
• An Experimental Study of The Effects of Position Bias on Emotion CauseExtraction
  16 Jul 2020 1 repository listed
  We therefore conclude that it is the innate bias in this benchmark that caused high accuracy rate of these deep learning models in ECE.
• From Independent Prediction to Re-ordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification
  4 Jun 2019 1 repository listed
  We introduce a relative position augmented embedding learning algorithm, and transform the task from an independent prediction problem to a reordered prediction problem, where the dynamic global label information is…

Syntology lines on 4 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.