{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/paraphrasing-vs-coreferring-two-sides-of-the","title":"Paraphrasing vs Coreferring: Two Sides of the Same Coin","arxiv_id":"2004.14979","date":"2020-04-30","proceeding":"Findings of the Association for Computational Linguistics 2020","authors":["Yehudit Meged","Avi Caciularu","Vered Shwartz","Ido Dagan"],"abstract":"We study the potential synergy between two different NLP tasks, both confronting predicate lexical variability: identifying predicate paraphrases, and event coreference resolution. First, we used annotations from an event coreference dataset as distant supervision to re-score heuristically-extracted predicate paraphrases. The new scoring gained more than 18 points in average precision upon their ranking by the original scoring method. Then, we used the same re-ranking features as additional inputs to a state-of-the-art event coreference resolution model, which yielded modest but consistent improvements to the model's performance. The results suggest a promising direction to leverage data and models for each of the tasks to the benefit of the other.","url_abs":"https://arxiv.org/abs/2004.14979v2","url_pdf":"https://arxiv.org/pdf/2004.14979v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"paraphrasing-vs-coreferring-two-sides-of-the","repo_url":"https://github.com/yehudit96/coreferrability","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"paraphrasing-vs-coreferring-two-sides-of-the","repo_url":"https://github.com/yehudit96/event_entity_coref_ecb_plus","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"coreference-resolution","task_name":"Coreference Resolution"},{"task_slug":"event-coreference-resolution","task_name":"Event Coreference Resolution"},{"task_slug":"event-cross-document-coreference-resolution","task_name":"Event Cross-Document Coreference Resolution"},{"task_slug":"re-ranking","task_name":"Re-Ranking"},{"task_slug":"two","task_name":"Vocal Bursts Valence Prediction"},{"task_slug":"coreference-resolution-1","task_name":"coreference-resolution"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/2004.14979","atlas_url":"https://app.syntology.ai/?focus=2004.14979","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}