{"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/revisiting-cross-lingual-summarization-a","title":"Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation","arxiv_id":"2307.04018","date":"2023-07-08","proceeding":null,"authors":["Yulong Chen","Huajian Zhang","Yijie Zhou","Xuefeng Bai","Yueguan Wang","Ming Zhong","Jianhao Yan","Yafu Li","Judy Li","Michael Zhu","Yue Zhang"],"abstract":"Most existing cross-lingual summarization (CLS) work constructs CLS corpora by simply and directly translating pre-annotated summaries from one language to another, which can contain errors from both summarization and translation processes. To address this issue, we propose ConvSumX, a cross-lingual conversation summarization benchmark, through a new annotation schema that explicitly considers source input context. ConvSumX consists of 2 sub-tasks under different real-world scenarios, with each covering 3 language directions. We conduct thorough analysis on ConvSumX and 3 widely-used manually annotated CLS corpora and empirically find that ConvSumX is more faithful towards input text. Additionally, based on the same intuition, we propose a 2-Step method, which takes both conversation and summary as input to simulate human annotation process. Experimental results show that 2-Step method surpasses strong baselines on ConvSumX under both automatic and human evaluation. Analysis shows that both source input text and summary are crucial for modeling cross-lingual summaries.","url_abs":"https://arxiv.org/abs/2307.04018v1","url_pdf":"https://arxiv.org/pdf/2307.04018v1.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":"revisiting-cross-lingual-summarization-a","repo_url":"https://github.com/cylnlp/convsumx","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":null,"task_name":"Conversation Summarization"}],"methods":[],"datasets_introduced":[{"slug":"convsumx","name":"ConvSumX","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/2307.04018","atlas_url":"https://app.syntology.ai/?focus=2307.04018","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}