{"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/key-value-retrieval-networks-for-task","title":"Key-Value Retrieval Networks for Task-Oriented Dialogue","arxiv_id":"1705.05414","date":"2017-05-15","proceeding":"WS 2017 8","authors":["Mihail Eric","Christopher D. Manning"],"abstract":"Neural task-oriented dialogue systems often struggle to smoothly interface\nwith a knowledge base. In this work, we seek to address this problem by\nproposing a new neural dialogue agent that is able to effectively sustain\ngrounded, multi-domain discourse through a novel key-value retrieval mechanism.\nThe model is end-to-end differentiable and does not need to explicitly model\ndialogue state or belief trackers. We also release a new dataset of 3,031\ndialogues that are grounded through underlying knowledge bases and span three\ndistinct tasks in the in-car personal assistant space: calendar scheduling,\nweather information retrieval, and point-of-interest navigation. Our\narchitecture is simultaneously trained on data from all domains and\nsignificantly outperforms a competitive rule-based system and other existing\nneural dialogue architectures on the provided domains according to both\nautomatic and human evaluation metrics.","url_abs":"http://arxiv.org/abs/1705.05414v2","url_pdf":"http://arxiv.org/pdf/1705.05414v2.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":"key-value-retrieval-networks-for-task","repo_url":"https://github.com/garygsw/Nav-NNDial","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}},{"paper_slug":"key-value-retrieval-networks-for-task","repo_url":"https://github.com/yachae/hello-world","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}},{"paper_slug":"key-value-retrieval-networks-for-task","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":[{"task_slug":"information-retrieval","task_name":"Information Retrieval"},{"task_slug":"retrieval","task_name":"Retrieval"},{"task_slug":"scheduling","task_name":"Scheduling"},{"task_slug":"task-oriented-dialogue-systems","task_name":"Task-Oriented Dialogue Systems"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/task-oriented-dialogue-systems-on-kvret","task":"Task-Oriented Dialogue Systems","dataset":"KVRET","model":"KV Retrieval Net","rank_in_archive_order":8,"of":10,"metrics":{"BLEU":"13.2","Entity F1":"48.0"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1705.05414","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}