{"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/latent-alignment-of-procedural-concepts-in-1","title":"Latent Alignment of Procedural Concepts in Multimodal Recipes","arxiv_id":"2101.04727","date":"2021-01-12","proceeding":"WS 2020 7","authors":["Hossein Rajaby Faghihi","Roshanak Mirzaee","Sudarshan Paliwal","Parisa Kordjamshidi"],"abstract":"We propose a novel alignment mechanism to deal with procedural reasoning on a newly released multimodal QA dataset, named RecipeQA. Our model is solving the textual cloze task which is a reading comprehension on a recipe containing images and instructions. We exploit the power of attention networks, cross-modal representations, and a latent alignment space between instructions and candidate answers to solve the problem. We introduce constrained max-pooling which refines the max-pooling operation on the alignment matrix to impose disjoint constraints among the outputs of the model. Our evaluation result indicates a 19\\% improvement over the baselines.","url_abs":"https://arxiv.org/abs/2101.04727v1","url_pdf":"https://arxiv.org/pdf/2101.04727v1.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":"latent-alignment-of-procedural-concepts-in-1","repo_url":"https://github.com/HLR/LatentAlignmentProcedural","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"question-answering","task_name":"Question Answering"},{"task_slug":"reading-comprehension","task_name":"Reading Comprehension"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/question-answering-on-recipeqa","task":"Question Answering","dataset":"RecipeQA","model":"multimodal+LXMERT+ConstrainedMaxPooling","rank_in_archive_order":1,"of":1,"metrics":{"Accuracy":"0.475"},"uses_additional_data":false}],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=2101.04727","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}