{"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/discourse-wizard-discovering-deep-discourse","title":"Discourse-Wizard: Discovering Deep Discourse Structure in your Conversation with RNNs","arxiv_id":"1806.11420","date":"2018-06-29","proceeding":null,"authors":["Chandrakant Bothe","Sven Magg","Cornelius Weber","Stefan Wermter"],"abstract":"Spoken language understanding is one of the key factors in a dialogue system,\nand a context in a conversation plays an important role to understand the\ncurrent utterance. In this work, we demonstrate the importance of context\nwithin the dialogue for neural network models through an online web interface\nlive demo. We developed two different neural models: a model that does not use\ncontext and a context-based model. The no-context model classifies dialogue\nacts at an utterance-level whereas the context-based model takes some preceding\nutterances into account. We make these trained neural models available as a\nlive demo called Discourse-Wizard using a modular server architecture. The live\ndemo provides an easy to use interface for conversational analysis and for\ndiscovering deep discourse structures in a conversation.","url_abs":"http://arxiv.org/abs/1806.11420v1","url_pdf":"http://arxiv.org/pdf/1806.11420v1.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":"discourse-wizard-discovering-deep-discourse","repo_url":"https://github.com/bothe/dialogue-act-recognition","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"spoken-language-understanding","task_name":"Spoken Language Understanding"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}