{"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-neural-conversational-model","title":"A Neural Conversational Model","arxiv_id":"1506.05869","date":"2015-06-19","proceeding":null,"authors":["Oriol Vinyals","Quoc Le"],"abstract":"Conversational modeling is an important task in natural language\nunderstanding and machine intelligence. Although previous approaches exist,\nthey are often restricted to specific domains (e.g., booking an airline ticket)\nand require hand-crafted rules. In this paper, we present a simple approach for\nthis task which uses the recently proposed sequence to sequence framework. Our\nmodel converses by predicting the next sentence given the previous sentence or\nsentences in a conversation. The strength of our model is that it can be\ntrained end-to-end and thus requires much fewer hand-crafted rules. We find\nthat this straightforward model can generate simple conversations given a large\nconversational training dataset. Our preliminary results suggest that, despite\noptimizing the wrong objective function, the model is able to converse well. It\nis able extract knowledge from both a domain specific dataset, and from a\nlarge, noisy, and general domain dataset of movie subtitles. On a\ndomain-specific IT helpdesk dataset, the model can find a solution to a\ntechnical problem via conversations. On a noisy open-domain movie transcript\ndataset, the model can perform simple forms of common sense reasoning. As\nexpected, we also find that the lack of consistency is a common failure mode of\nour model.","url_abs":"http://arxiv.org/abs/1506.05869v3","url_pdf":"http://arxiv.org/pdf/1506.05869v3.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-neural-conversational-model","repo_url":"https://github.com/Conchylicultor/DeepQA","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"a-neural-conversational-model","repo_url":"https://github.com/CongBao/ChatBot","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"a-neural-conversational-model","repo_url":"https://github.com/Paarth3098/chatbot_p","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"a-neural-conversational-model","repo_url":"https://github.com/alexis-jacq/Pytorch-ChatBot","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"a-neural-conversational-model","repo_url":"https://github.com/farizrahman4u/seq2seq","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}},{"paper_slug":"a-neural-conversational-model","repo_url":"https://github.com/franckalain/Tensorflow-Projects-ChatBot","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"a-neural-conversational-model","repo_url":"https://github.com/fuchason/chatbot","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"a-neural-conversational-model","repo_url":"https://github.com/hackobi/AI-based-chatbot","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"a-neural-conversational-model","repo_url":"https://github.com/hamil168/Chatbots","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"a-neural-conversational-model","repo_url":"https://github.com/hiejulia/data-mining","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"a-neural-conversational-model","repo_url":"https://github.com/huulinhcvp/chatBot","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"a-neural-conversational-model","repo_url":"https://github.com/ldulcic/chatbot","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"a-neural-conversational-model","repo_url":"https://github.com/macournoyer/neuralconvo","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"torch","reach":{"status":"ok"}},{"paper_slug":"a-neural-conversational-model","repo_url":"https://github.com/outcastofmusic/quick-nlp","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"a-neural-conversational-model","repo_url":"https://github.com/paulsens/ConvNeur","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"gone","observed_at":"2026-09-18","how":"tree_404+repo_404"}},{"paper_slug":"a-neural-conversational-model","repo_url":"https://github.com/sayhitosandy/Chatbot","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"a-neural-conversational-model","repo_url":"https://github.com/shahrukhsf/Chatbot","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"a-neural-conversational-model","repo_url":"https://github.com/subhamdas226/Chatbot","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}}],"tasks":[{"task_slug":"common-sense-reasoning","task_name":"Common Sense Reasoning"},{"task_slug":"natural-language-understanding","task_name":"Natural Language Understanding"},{"task_slug":"sentence","task_name":"Sentence"},{"task_slug":"model","task_name":"model"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1506.05869","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1506.05869"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. 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