mlsanityData to 7 Oct 2026

Emotion-Cause Pair Extraction as Question Answering

arXiv 2301.01982 ↗First posted 5 Jan 2023cs.CLcited by 3

Not on the map. Why?

Abstract (arXiv)

The task of Emotion-Cause Pair Extraction (ECPE) aims to extract all potential emotion-cause pairs of a document without any annotation of emotion or cause clauses. Previous approaches on ECPE have tried to improve conventional two-step processing schemes by using complex architectures for modeling emotion-cause interaction. In this paper, we cast the ECPE task to the question answering (QA) problem and propose simple yet effective BERT-based solutions to tackle it. Given a document, our Guided-QA model first predicts the best emotion clause using a fixed question. Then the predicted emotion is used as a question to predict the most potential cause for the emotion. We evaluate our model on a standard ECPE corpus. The experimental results show that despite its simplicity, our Guided-QA achieves promising results and is easy to reproduce. The code of Guided-QA is also provided.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 14 of its 23 references that are in the map. First posted on arXiv 5 Jan 2023.

Builds on

14 of 23 references.

References · 14

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
  3. 2016SQuAD: 100,000+ Questions for Machine Comprehension of Textcited by 4,115
  4. 2020UnifiedQA: Crossing Format Boundaries With a Single QA Systemcited by 475
  5. 2019A Unified MRC Framework for Named Entity Recognitioncited by 199
  6. 2019Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Textscited by 82
  7. 2021SpanNER: Named Entity Re-/Recognition as Span Predictioncited by 55
  8. 2021Paradigm Shift in Natural Language Processingcited by 39
  9. 2020Coarse-to-Fine Pre-training for Named Entity Recognitioncited by 28
  10. 2017A Question Answering Approach to Emotion Cause Extractioncited by 21
  11. 2021Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extractioncited by 17
  12. 2021A Span Extraction Approach for Information Extraction on Visually-Rich Documentscited by 6
2 more
  1. 2020Guaranteeing Reproducibility in Deep Learning Competitionscited by 4
  2. 2020ECSP: A New Task for Emotion-Cause Span-Pair Extraction and Classificationcited by 3

Built on by

Cited by year

Citing papers per year: 2023: 2; 2024: 0; 2025: 1.

3 papers.

  1. 2023Towards Safer Operations: An Expert-involved Dataset of High-Pressure Gas Incidents for Preventing Future Failurescited by 1
  2. 2023Recognizing Conditional Causal Relationships about Emotions and Their Corresponding Conditionscited by 0
  3. 2025AIMA at SemEval-2024 Task 3: Simple Yet Powerful Emotion Cause Pair Analysiscited by 0