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Emotion Cause Extraction
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/JiayuanDing100/Position-Bias
공식 코드An Experimental Study of The Effects of Position Bias on Emotion CauseExtraction
https://github.com/NUSTM/ECPE
공식 코드Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts
https://github.com/NUSTM/PAEDGL
공식 코드https://github.com/NUSTM/RTHN
공식 코드RTHN: A RNN-Transformer Hierarchical Network for Emotion Cause Extraction
https://github.com/declare-lab/RECCON
공식 코드https://github.com/hanqi-qi/Position-Bias-Mitigation-in-Emotion-Cause-Analysis
공식 코드Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction
https://github.com/lemei/epo-ecpe
공식 코드Emotion Prediction Oriented method with Multiple Supervisions for Emotion-Cause Pair Extraction
https://github.com/mips-colt/mer-mce
공식 코드https://github.com/nustm/chatgpt-sentiment-evaluation
공식 코드https://github.com/shl5133/E2EECPE
공식 코드End-to-end Emotion-Cause Pair Extraction via Learning to Link
https://github.com/MorningBooks/A_oveview_of_awesome_causality_dataset
Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts
https://github.com/MorningBooks/Causality
Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts
https://github.com/QCOIN-LAB/E2ECPE
End-to-end Emotion-Cause Pair Extraction via Learning to Link
https://github.com/bbruceyuan/ECPE-PyTorch
Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts
https://github.com/cuiding/RTHN-master
RTHN: A RNN-Transformer Hierarchical Network for Emotion Cause Extraction
https://github.com/cuiding/RTHN-master2
RTHN: A RNN-Transformer Hierarchical Network for Emotion Cause Extraction
https://github.com/yajus/ueca-prompt
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.