{"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-context-aware-natural-language-generator","title":"A Context-aware Natural Language Generator for Dialogue Systems","arxiv_id":"1608.07076","date":"2016-08-25","proceeding":null,"authors":["Ondřej Dušek","Filip Jurčíček"],"abstract":"We present a novel natural language generation system for spoken dialogue\nsystems capable of entraining (adapting) to users' way of speaking, providing\ncontextually appropriate responses. The generator is based on recurrent neural\nnetworks and the sequence-to-sequence approach. It is fully trainable from data\nwhich include preceding context along with responses to be generated. We show\nthat the context-aware generator yields significant improvements over the\nbaseline in both automatic metrics and a human pairwise preference test.","url_abs":"http://arxiv.org/abs/1608.07076v1","url_pdf":"http://arxiv.org/pdf/1608.07076v1.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":"a-context-aware-natural-language-generator","repo_url":"https://github.com/UFAL-DSG/tgen","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"tf","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"spoken-dialogue-systems","task_name":"Spoken Dialogue Systems"},{"task_slug":"text-generation","task_name":"Text Generation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}