{"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/sequential-copying-networks","title":"Sequential Copying Networks","arxiv_id":"1807.02301","date":"2018-07-06","proceeding":null,"authors":["Qingyu Zhou","Nan Yang","Furu Wei","Ming Zhou"],"abstract":"Copying mechanism shows effectiveness in sequence-to-sequence based neural\nnetwork models for text generation tasks, such as abstractive sentence\nsummarization and question generation. However, existing works on modeling\ncopying or pointing mechanism only considers single word copying from the\nsource sentences. In this paper, we propose a novel copying framework, named\nSequential Copying Networks (SeqCopyNet), which not only learns to copy single\nwords, but also copies sequences from the input sentence. It leverages the\npointer networks to explicitly select a sub-span from the source side to target\nside, and integrates this sequential copying mechanism to the generation\nprocess in the encoder-decoder paradigm. Experiments on abstractive sentence\nsummarization and question generation tasks show that the proposed SeqCopyNet\ncan copy meaningful spans and outperforms the baseline models.","url_abs":"http://arxiv.org/abs/1807.02301v1","url_pdf":"http://arxiv.org/pdf/1807.02301v1.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":"sequential-copying-networks","repo_url":"https://github.com/jiaruncao/BioCopyMechanism","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"decoder","task_name":"Decoder"},{"task_slug":"question-generation","task_name":"Question Generation"},{"task_slug":"question-generation","task_name":"Question-Generation"},{"task_slug":"sentence","task_name":"Sentence"},{"task_slug":"sentence-summarization","task_name":"Sentence Summarization"},{"task_slug":"text-generation","task_name":"Text Generation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1807.02301","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}