{"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/improving-context-modelling-in-multimodal","title":"Improving Context Modelling in Multimodal Dialogue Generation","arxiv_id":"1810.11955","date":"2018-10-20","proceeding":"WS 2018 11","authors":["Shubham Agarwal","Ondrej Dusek","Ioannis Konstas","Verena Rieser"],"abstract":"In this work, we investigate the task of textual response generation in a\nmultimodal task-oriented dialogue system. Our work is based on the recently\nreleased Multimodal Dialogue (MMD) dataset (Saha et al., 2017) in the fashion\ndomain. We introduce a multimodal extension to the Hierarchical Recurrent\nEncoder-Decoder (HRED) model and show that this extension outperforms strong\nbaselines in terms of text-based similarity metrics. We also showcase the\nshortcomings of current vision and language models by performing an error\nanalysis on our system's output.","url_abs":"http://arxiv.org/abs/1810.11955v1","url_pdf":"http://arxiv.org/pdf/1810.11955v1.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":"improving-context-modelling-in-multimodal","repo_url":"https://github.com/shubhamagarwal92/mmd","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"decoder","task_name":"Decoder"},{"task_slug":"dialogue-generation","task_name":"Dialogue Generation"},{"task_slug":"response-generation","task_name":"Response Generation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}