{"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/paper-abstract-writing-through-editing","title":"Paper Abstract Writing through Editing Mechanism","arxiv_id":"1805.06064","date":"2018-05-15","proceeding":"ACL 2018 7","authors":["Qingyun Wang","Zhi-Hao Zhou","Lifu Huang","Spencer Whitehead","Boliang Zhang","Heng Ji","Kevin Knight"],"abstract":"We present a paper abstract writing system based on an attentive neural\nsequence-to-sequence model that can take a title as input and automatically\ngenerate an abstract. We design a novel Writing-editing Network that can attend\nto both the title and the previously generated abstract drafts and then\niteratively revise and polish the abstract. With two series of Turing tests,\nwhere the human judges are asked to distinguish the system-generated abstracts\nfrom human-written ones, our system passes Turing tests by junior domain\nexperts at a rate up to 30% and by non-expert at a rate up to 80%.","url_abs":"http://arxiv.org/abs/1805.06064v1","url_pdf":"http://arxiv.org/pdf/1805.06064v1.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":"paper-abstract-writing-through-editing","repo_url":"https://github.com/EagleW/ACL_titles_abstracts_dataset","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null},{"paper_slug":"paper-abstract-writing-through-editing","repo_url":"https://github.com/EagleW/Writing-editing-Network","is_official":0,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"paper-generation","task_name":"Paper generation"},{"task_slug":"text-generation","task_name":"Text Generation"}],"methods":[{"method_slug":"gru","method_name":"GRU"},{"method_slug":"lstm","method_name":"LSTM"},{"method_slug":"seq2seq","method_name":"Seq2Seq"},{"method_slug":"sigmoid-activation","method_name":"Sigmoid Activation"},{"method_slug":"tanh-activation","method_name":"Tanh Activation"}],"datasets_introduced":[{"slug":"acl-title-and-abstract-dataset","name":"ACL Title and Abstract Dataset","full_name":""}],"methods_introduced":[],"results":[{"leaderboard":"/sota/paper-generation-on-acl-title-and-abstract","task":"Paper generation","dataset":"ACL Title and Abstract Dataset","model":"Writing-editing Network","rank_in_archive_order":1,"of":1,"metrics":{"METEOR":"14.0","ROUGE-L":"20.3"},"uses_additional_data":false}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}