{"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/dynamic-entity-representation-with-max","title":"Dynamic Entity Representation with Max-pooling Improves Machine Reading","arxiv_id":null,"date":"2016-06-01","proceeding":"NAACL 2016 6","authors":["Sosuke Kobayashi","Ran Tian","Naoaki Okazaki","Kentaro Inui"],"abstract":"","url_abs":"https://aclanthology.org/N16-1099","url_pdf":"https://aclanthology.org/N16-1099.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":[],"tasks":[{"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":"Dynamic Entity Repres. + w2v","rank_in_archive_order":10,"of":16,"metrics":{"CNN":" 72.9"},"uses_additional_data":false}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}