{"url":"/task/emotion-cause-extraction","name":"Emotion Cause Extraction","slug":"emotion-cause-extraction","description_markdown":null,"categories":[{"name":"Audio","url":"/area/audio"},{"name":"Computer Vision","url":"/area/computer-vision"},{"name":"Miscellaneous","url":"/area/miscellaneous"},{"name":"Natural Language Processing","url":"/area/natural-language-processing"},{"name":"Speech","url":"/area/speech"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":27,"papers_with_code":12,"benchmarks":1,"benchmark_tables_in_archive":1,"benchmark_tables_shown":1,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":1,"subtasks":0,"parent_tasks":1},"benchmarks":[{"leaderboard":"/sota/emotion-cause-extraction-on-ece","slug":"emotion-cause-extraction-on-ece","dataset":"ECE","dataset_url":"/dataset/ece","rows_in_archive":8,"metrics":["F1"],"first_row_in_archive_order":{"model":"UECA-Prompt","paper_title":"UECA-Prompt: Universal Prompt for Emotion Cause Analysis","paper_url":"/paper/ueca-prompt-universal-prompt-for-emotion","paper_date":"","arxiv_id":null,"code_links":[{"title":"yajus/ueca-prompt","url":"https://github.com/yajus/ueca-prompt"}],"syntology":null}}],"datasets":[{"url":"/dataset/ece","name":"ECE","full_name":"","num_papers_in_archive":38}],"subtasks":[],"parent_tasks":[{"url":"/task/emotion-recognition","name":"Emotion Recognition"}],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":12,"of":12,"tagged_in_all":27,"items":[{"url":"/paper/emotion-cause-pair-extraction-a-new-task-to","title":"Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts","date":"2019-06-04","arxiv_id":"1906.01267","repositories_listed":4,"syntology":null},{"url":"/paper/rthn-a-rnn-transformer-hierarchical-network","title":"RTHN: A RNN-Transformer Hierarchical Network for Emotion Cause Extraction","date":"2019-06-04","arxiv_id":"1906.01236","repositories_listed":3,"syntology":{"n":4,"n_ran":0,"n_unverified":4,"n_pointer_only":4}},{"url":"/paper/end-to-end-emotion-cause-pair-extraction-via","title":"End-to-end Emotion-Cause Pair Extraction via Learning to Link","date":"2020-02-25","arxiv_id":"2002.10710","repositories_listed":2,"syntology":{"n":2,"n_ran":0,"n_unverified":2,"n_pointer_only":0}},{"url":"/paper/mips-at-semeval-2024-task-3-multimodal","title":"MIPS at SemEval-2024 Task 3: Multimodal Emotion-Cause Pair Extraction in Conversations with Multimodal Language Models","date":"2024-03-31","arxiv_id":"2404.00511","repositories_listed":1,"syntology":{"n":4,"n_ran":4,"n_unverified":0,"n_pointer_only":4}},{"url":"/paper/is-chatgpt-a-good-sentiment-analyzer-a","title":"Is ChatGPT a Good Sentiment Analyzer? A Preliminary Study","date":"2023-04-10","arxiv_id":"2304.04339","repositories_listed":1,"syntology":{"n":1,"n_ran":0,"n_unverified":1,"n_pointer_only":1}},{"url":"/paper/emotion-prediction-oriented-method-with","title":"Emotion Prediction Oriented method with Multiple Supervisions for Emotion-Cause Pair Extraction","date":"2023-02-24","arxiv_id":"2302.12417","repositories_listed":1,"syntology":null},{"url":"/paper/ueca-prompt-universal-prompt-for-emotion","title":"UECA-Prompt: Universal Prompt for Emotion Cause Analysis","date":"2022-10-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/position-bias-mitigation-a-knowledge-aware","title":"Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction","date":"2021-06-07","arxiv_id":"2106.03518","repositories_listed":1,"syntology":null},{"url":"/paper/an-end-to-end-network-for-emotion-cause-pair","title":"An End-to-End Network for Emotion-Cause Pair Extraction","date":"2021-03-02","arxiv_id":"2103.01544","repositories_listed":1,"syntology":null},{"url":"/paper/recognizing-emotion-cause-in-conversations-1","title":"Recognizing Emotion Cause in Conversations","date":"2020-12-22","arxiv_id":"2012.11820","repositories_listed":1,"syntology":null},{"url":"/paper/an-experimental-study-of-the-effects-of","title":"An Experimental Study of The Effects of Position Bias on Emotion CauseExtraction","date":"2020-07-16","arxiv_id":"2007.15066","repositories_listed":1,"syntology":null},{"url":"/paper/from-independent-prediction-to-re-ordered","title":"From Independent Prediction to Re-ordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification","date":"2019-06-04","arxiv_id":"1906.01230","repositories_listed":1,"syntology":null}],"syntology_records":4,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}