{"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/dialogue-state-tracking-with-a-language-model","title":"Dialogue State Tracking with a Language Model using Schema-Driven Prompting","arxiv_id":"2109.07506","date":"2021-09-15","proceeding":"EMNLP 2021 11","authors":["Chia-Hsuan Lee","Hao Cheng","Mari Ostendorf"],"abstract":"Task-oriented conversational systems often use dialogue state tracking to represent the user's intentions, which involves filling in values of pre-defined slots. Many approaches have been proposed, often using task-specific architectures with special-purpose classifiers. Recently, good results have been obtained using more general architectures based on pretrained language models. Here, we introduce a new variation of the language modeling approach that uses schema-driven prompting to provide task-aware history encoding that is used for both categorical and non-categorical slots. We further improve performance by augmenting the prompting with schema descriptions, a naturally occurring source of in-domain knowledge. Our purely generative system achieves state-of-the-art performance on MultiWOZ 2.2 and achieves competitive performance on two other benchmarks: MultiWOZ 2.1 and M2M. The data and code will be available at https://github.com/chiahsuan156/DST-as-Prompting.","url_abs":"https://arxiv.org/abs/2109.07506v1","url_pdf":"https://arxiv.org/pdf/2109.07506v1.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":"dialogue-state-tracking-with-a-language-model","repo_url":"https://github.com/chiahsuan156/dst-as-prompting","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"jax","reach":{"status":"ok"}}],"tasks":[{"task_slug":"dialogue-state-tracking","task_name":"Dialogue State Tracking"},{"task_slug":"language-modeling","task_name":"Language Modeling"},{"task_slug":"language-modelling","task_name":"Language Modelling"},{"task_slug":"multi-domain-dialogue-state-tracking","task_name":"Multi-domain Dialogue State Tracking"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/dialogue-state-tracking-on-multiwoz-2-1","task":"Dialogue State Tracking","dataset":"MULTIWOZ 2.1","model":"SGP-DST (base)","rank_in_archive_order":3,"of":4,"metrics":{"MultiWOZ (Joint Goal Acc)":"56.66"},"uses_additional_data":false},{"leaderboard":"/sota/dialogue-state-tracking-on-multiwoz-2-1","task":"Dialogue State Tracking","dataset":"MULTIWOZ 2.1","model":"SGP-DST (small)","rank_in_archive_order":4,"of":4,"metrics":{"MultiWOZ (Joint Goal Acc)":"56.12"},"uses_additional_data":false},{"leaderboard":"/sota/dialogue-state-tracking-on-multiwoz-2-2","task":"Dialogue State Tracking","dataset":"MULTIWOZ 2.2","model":"SGP-DST (base)","rank_in_archive_order":1,"of":2,"metrics":{"MultiWOZ (Joint Goal Acc)":"57.6"},"uses_additional_data":false},{"leaderboard":"/sota/dialogue-state-tracking-on-multiwoz-2-2","task":"Dialogue State Tracking","dataset":"MULTIWOZ 2.2","model":"SGP-DST (small)","rank_in_archive_order":2,"of":2,"metrics":{"MultiWOZ (Joint Goal Acc)":"56.3"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2109.07506","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}