{"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/ask-me-even-more-dynamic-memory-tensor","title":"Ask Me Even More: Dynamic Memory Tensor Networks (Extended Model)","arxiv_id":"1703.03939","date":"2017-03-11","proceeding":null,"authors":["Govardana Sachithanandam Ramachandran","Ajay Sohmshetty"],"abstract":"We examine Memory Networks for the task of question answering (QA), under\ncommon real world scenario where training examples are scarce and under weakly\nsupervised scenario, that is only extrinsic labels are available for training.\nWe propose extensions for the Dynamic Memory Network (DMN), specifically within\nthe attention mechanism, we call the resulting Neural Architecture as Dynamic\nMemory Tensor Network (DMTN). Ultimately, we see that our proposed extensions\nresults in over 80% improvement in the number of task passed against the\nbaselined standard DMN and 20% more task passed compared to state-of-the-art\nEnd-to-End Memory Network for Facebook's single task weakly trained 1K bAbi\ndataset.","url_abs":"http://arxiv.org/abs/1703.03939v1","url_pdf":"http://arxiv.org/pdf/1703.03939v1.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":"ask-me-even-more-dynamic-memory-tensor","repo_url":"https://github.com/rgsachin/DMTN","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"ask-me-even-more-dynamic-memory-tensor","repo_url":"https://github.com/voicy-ai/DialogStateTracking","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"NOASSERTION"}}],"tasks":[{"task_slug":"question-answering","task_name":"Question Answering"},{"task_slug":"tensor-networks","task_name":"Tensor Networks"}],"methods":[{"method_slug":"dynamic-memory-network","method_name":"Dynamic Memory Network"},{"method_slug":"gru","method_name":"GRU"},{"method_slug":"memory-network","method_name":"Memory Network"},{"method_slug":"softmax","method_name":"Softmax"}],"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}