{"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/iterative-alternating-neural-attention-for","title":"Iterative Alternating Neural Attention for Machine Reading","arxiv_id":"1606.02245","date":"2016-06-07","proceeding":null,"authors":["Alessandro Sordoni","Philip Bachman","Adam Trischler","Yoshua Bengio"],"abstract":"We propose a novel neural attention architecture to tackle machine\ncomprehension tasks, such as answering Cloze-style queries with respect to a\ndocument. Unlike previous models, we do not collapse the query into a single\nvector, instead we deploy an iterative alternating attention mechanism that\nallows a fine-grained exploration of both the query and the document. Our model\noutperforms state-of-the-art baselines in standard machine comprehension\nbenchmarks such as CNN news articles and the Children's Book Test (CBT)\ndataset.","url_abs":"http://arxiv.org/abs/1606.02245v4","url_pdf":"http://arxiv.org/pdf/1606.02245v4.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":"iterative-alternating-neural-attention-for","repo_url":"https://github.com/AI-metrics/AI-metrics","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"NOASSERTION"}}],"tasks":[{"task_slug":"articles","task_name":"Articles"},{"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-cnn-daily-mail","task":"Question Answering","dataset":"CNN / Daily Mail","model":"AIA","rank_in_archive_order":5,"of":16,"metrics":{"CNN":"76.1"},"uses_additional_data":false},{"leaderboard":"/sota/question-answering-on-childrens-book-test","task":"Question Answering","dataset":"Children's Book Test","model":"AIA","rank_in_archive_order":8,"of":8,"metrics":{"Accuracy-NE":"72%"},"uses_additional_data":false}],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}