{"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/microsoft-dialogue-challenge-building-end-to","title":"Microsoft Dialogue Challenge: Building End-to-End Task-Completion Dialogue Systems","arxiv_id":"1807.11125","date":"2018-07-29","proceeding":null,"authors":["Xiujun Li","Yu Wang","Siqi Sun","Sarah Panda","Jingjing Liu","Jianfeng Gao"],"abstract":"This proposal introduces a Dialogue Challenge for building end-to-end\ntask-completion dialogue systems, with the goal of encouraging the dialogue\nresearch community to collaborate and benchmark on standard datasets and\nunified experimental environment. In this special session, we will release\nhuman-annotated conversational data in three domains (movie-ticket booking,\nrestaurant reservation, and taxi booking), as well as an experiment platform\nwith built-in simulators in each domain, for training and evaluation purposes.\nThe final submitted systems will be evaluated both in simulated setting and by\nhuman judges.","url_abs":"http://arxiv.org/abs/1807.11125v2","url_pdf":"http://arxiv.org/pdf/1807.11125v2.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":"microsoft-dialogue-challenge-building-end-to","repo_url":"https://github.com/xiul-msr/e2e_dialog_challenge","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null},{"paper_slug":"microsoft-dialogue-challenge-building-end-to","repo_url":"https://github.com/ysglh/Task-Oriented-Dialogue-Dataset-Survey","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1807.11125","atlas_url":"https://app.syntology.ai/?focus=1807.11125","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}