{"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/multi-task-learning-for-machine-reading","title":"Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension","arxiv_id":"1809.06963","date":"2018-09-18","proceeding":"NAACL 2019 6","authors":["Yichong Xu","Xiaodong Liu","Yelong Shen","Jingjing Liu","Jianfeng Gao"],"abstract":"We propose a multi-task learning framework to learn a joint Machine Reading\nComprehension (MRC) model that can be applied to a wide range of MRC tasks in\ndifferent domains. Inspired by recent ideas of data selection in machine\ntranslation, we develop a novel sample re-weighting scheme to assign\nsample-specific weights to the loss. Empirical study shows that our approach\ncan be applied to many existing MRC models. Combined with contextual\nrepresentations from pre-trained language models (such as ELMo), we achieve new\nstate-of-the-art results on a set of MRC benchmark datasets. We release our\ncode at https://github.com/xycforgithub/MultiTask-MRC.","url_abs":"http://arxiv.org/abs/1809.06963v3","url_pdf":"http://arxiv.org/pdf/1809.06963v3.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":"multi-task-learning-for-machine-reading","repo_url":"https://github.com/xycforgithub/MultiTask-MRC","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"BSD-3-Clause"}},{"paper_slug":"multi-task-learning-for-machine-reading","repo_url":"https://github.com/Xaniar87/SAN_SQuAD2","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"multi-task-learning-for-machine-reading","repo_url":"https://github.com/kevinduh/san_mrc","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"multi-task-learning-for-machine-reading","repo_url":"https://github.com/xycforgithub/Airbnb-Comparison","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"multi-task-learning-for-machine-reading","repo_url":"https://github.com/yongbowin/san_mrc_annotation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"machine-reading-comprehension","task_name":"Machine Reading Comprehension"},{"task_slug":"machine-translation","task_name":"Machine Translation"},{"task_slug":"multi-task-learning","task_name":"Multi-Task Learning"},{"task_slug":"question-answering","task_name":"Question Answering"},{"task_slug":"reading-comprehension","task_name":"Reading Comprehension"},{"task_slug":"translation","task_name":"Translation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1809.06963","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}