{"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/a-frame-tracking-model-for-memory-enhanced","title":"A Frame Tracking Model for Memory-Enhanced Dialogue Systems","arxiv_id":"1706.01690","date":"2017-06-06","proceeding":"WS 2017 8","authors":["Hannes Schulz","Jeremie Zumer","Layla El Asri","Shikhar Sharma"],"abstract":"Recently, resources and tasks were proposed to go beyond state tracking in\ndialogue systems. An example is the frame tracking task, which requires\nrecording multiple frames, one for each user goal set during the dialogue. This\nallows a user, for instance, to compare items corresponding to different goals.\nThis paper proposes a model which takes as input the list of frames created so\nfar during the dialogue, the current user utterance as well as the dialogue\nacts, slot types, and slot values associated with this utterance. The model\nthen outputs the frame being referenced by each triple of dialogue act, slot\ntype, and slot value. We show that on the recently published Frames dataset,\nthis model significantly outperforms a previously proposed rule-based baseline.\nIn addition, we propose an extensive analysis of the frame tracking task by\ndividing it into sub-tasks and assessing their difficulty with respect to our\nmodel.","url_abs":"http://arxiv.org/abs/1706.01690v1","url_pdf":"http://arxiv.org/pdf/1706.01690v1.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":[],"tasks":[],"methods":[],"datasets_introduced":[{"slug":"frames-dataset","name":"Frames Dataset","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1706.01690","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}