{"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/denotation-extraction-for-interactive","title":"Denotation Extraction for Interactive Learning in Dialogue Systems","arxiv_id":"1801.02916","date":"2018-01-09","proceeding":null,"authors":["Miroslav Vodolán","Filip Jurčíček"],"abstract":"This paper presents a novel task using real user data obtained in\nhuman-machine conversation. The task concerns with denotation extraction from\nanswer hints collected interactively in a dialogue. The task is motivated by\nthe need for large amounts of training data for question answering dialogue\nsystem development, where the data is often expensive and hard to collect.\nBeing able to collect denotation interactively and directly from users, one\ncould improve, for example, natural understanding components on-line and ease\nthe collection of the training data. This paper also presents introductory\nresults of evaluation of several denotation extraction models including\nattention-based neural network approaches.","url_abs":"http://arxiv.org/abs/1801.02916v1","url_pdf":"http://arxiv.org/pdf/1801.02916v1.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":"denotation-extraction-for-interactive","repo_url":"https://github.com/vodolan/DenotationIdentification","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"question-answering","task_name":"Question Answering"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}