{"url":"/task/claim-extraction-with-stance-classification","name":"Claim Extraction with Stance Classification (CESC)","slug":"claim-extraction-with-stance-classification","description_markdown":"Since claims stand at a clear position towards a given topic, the sentences with clear stances should have a higher possibility to be the claims. Hence, identifying the stances of the claims is supposed to benefit the claim extraction task. By combining the claim extraction and stance classification subtasks, we define this integrated task as: given a specific topic and relevant articles, extract the claims from the articles and also identify the stance of the claims towards the topic.","categories":[{"name":"Natural Language Processing","url":"/area/natural-language-processing"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":2,"papers_with_code":1,"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":2,"subtasks":0,"parent_tasks":1},"benchmarks":[{"leaderboard":"/sota/claim-extraction-with-stance-classification","slug":"claim-extraction-with-stance-classification","dataset":"IAM Dataset","dataset_url":"/dataset/iam-dataset","rows_in_archive":1,"metrics":["Macro F1"],"first_row_in_archive_order":{"model":"Multi-label","paper_title":"IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks","paper_url":"/paper/iam-a-comprehensive-and-large-scale-dataset","paper_date":"2022-03-23","arxiv_id":"2203.12257","code_links":[{"title":"liyingcheng95/iam","url":"https://github.com/liyingcheng95/iam"}],"syntology":null}}],"datasets":[{"url":"/dataset/iam-dataset","name":"IAM Dataset","full_name":"A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks","num_papers_in_archive":3},{"url":"/dataset/press-briefing-claim-dataset","name":"Press Briefing Claim Dataset","full_name":"","num_papers_in_archive":1}],"subtasks":[],"parent_tasks":[{"url":"/task/argument-mining","name":"Argument Mining"}],"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":1,"of":1,"tagged_in_all":2,"items":[{"url":"/paper/iam-a-comprehensive-and-large-scale-dataset","title":"IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks","date":"2022-03-23","arxiv_id":"2203.12257","repositories_listed":1,"syntology":null}],"syntology_records":0,"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"}}