{"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/engage-the-public-poll-question-generation","title":"Engage the Public: Poll Question Generation for Social Media Posts","arxiv_id":null,"date":"2021-08-01","proceeding":"ACL 2021 5","authors":["Zexin Lu","Keyang Ding","Yuji Zhang","Jing Li","Baolin Peng","Lemao Liu"],"abstract":"This paper presents a novel task to generate poll questions for social media posts. It offers an easy way to hear the voice from the public and learn from their feelings to important social topics. While most related work tackles formal languages (e.g., exam papers), we generate poll questions for short and colloquial social media messages exhibiting severe data sparsity. To deal with that, we propose to encode user comments and discover latent topics therein as contexts. They are then incorporated into a sequence-to-sequence (S2S) architecture for question generation and its extension with dual decoders to additionally yield poll choices (answers). For experiments, we collect a large-scale Chinese dataset from Sina Weibo containing over 20K polls. The results show that our model outperforms the popular S2S models without exploiting topics from comments and the dual decoder design can further benefit the prediction of both questions and answers. Human evaluations further exhibit our superiority in yielding high-quality polls helpful to draw user engagements.","url_abs":"https://aclanthology.org/2021.acl-long.3","url_pdf":"https://aclanthology.org/2021.acl-long.3.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":"engage-the-public-poll-question-generation","repo_url":"https://github.com/polyusmart/poll-question-generation","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"answer-generation","task_name":"Answer Generation"},{"task_slug":"decoder","task_name":"Decoder"},{"task_slug":"poll-generation","task_name":"Poll Generation"},{"task_slug":"question-generation","task_name":"Question Generation"},{"task_slug":"question-generation","task_name":"Question-Generation"}],"methods":[],"datasets_introduced":[{"slug":"weibopolls","name":"WeiboPolls","full_name":""}],"methods_introduced":[],"results":[{"leaderboard":"/sota/answer-generation-on-weibopolls","task":"Answer Generation","dataset":"WeiboPolls","model":"Dual Dec","rank_in_archive_order":3,"of":3,"metrics":{"BLEU-1":"26.55","BLEU-3":"8.65","ROUGE-1":"31.72","ROUGE-L":"29.54"},"uses_additional_data":false},{"leaderboard":"/sota/poll-generation-on-weibopolls","task":"Poll Generation","dataset":"WeiboPolls","model":"Dual Dec","rank_in_archive_order":3,"of":3,"metrics":{"BLEU-1":"29.41","BLEU-3":"8.84","ROUGE-1":"34.98","ROUGE-L":"32.84"},"uses_additional_data":false},{"leaderboard":"/sota/question-generation-on-weibopolls","task":"Question Generation","dataset":"WeiboPolls","model":"Dual Dec","rank_in_archive_order":3,"of":3,"metrics":{"BLEU-1":"32.27","BLEU-3":"9.04","ROUGE-1":"38.24","ROUGE-L":"36.14"},"uses_additional_data":false}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}