{"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/sogou-machine-reading-comprehension-toolkit","title":"Sogou Machine Reading Comprehension Toolkit","arxiv_id":"1903.11848","date":"2019-03-28","proceeding":null,"authors":["Jindou Wu","Yunlun Yang","Chao Deng","Hongyi Tang","Bingning Wang","Haoze Sun","Ting Yao","Qi Zhang"],"abstract":"Machine reading comprehension have been intensively studied in recent years,\nand neural network-based models have shown dominant performances. In this\npaper, we present a Sogou Machine Reading Comprehension (SMRC) toolkit that can\nbe used to provide the fast and efficient development of modern machine\ncomprehension models, including both published models and original prototypes.\nTo achieve this goal, the toolkit provides dataset readers, a flexible\npreprocessing pipeline, necessary neural network components, and built-in\nmodels, which make the whole process of data preparation, model construction,\nand training easier.","url_abs":"http://arxiv.org/abs/1903.11848v2","url_pdf":"http://arxiv.org/pdf/1903.11848v2.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":"sogou-machine-reading-comprehension-toolkit","repo_url":"https://github.com/sogou/SMRCToolkit","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[{"task_slug":"machine-reading-comprehension","task_name":"Machine Reading Comprehension"},{"task_slug":"reading-comprehension","task_name":"Reading Comprehension"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1903.11848","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}