{"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/applying-deep-learning-to-answer-selection-a","title":"Applying Deep Learning to Answer Selection: A Study and An Open Task","arxiv_id":"1508.01585","date":"2015-08-07","proceeding":null,"authors":["Minwei Feng","Bing Xiang","Michael R. Glass","Lidan Wang","Bo-Wen Zhou"],"abstract":"We apply a general deep learning framework to address the non-factoid\nquestion answering task. Our approach does not rely on any linguistic tools and\ncan be applied to different languages or domains. Various architectures are\npresented and compared. We create and release a QA corpus and setup a new QA\ntask in the insurance domain. Experimental results demonstrate superior\nperformance compared to the baseline methods and various technologies give\nfurther improvements. For this highly challenging task, the top-1 accuracy can\nreach up to 65.3% on a test set, which indicates a great potential for\npractical use.","url_abs":"http://arxiv.org/abs/1508.01585v2","url_pdf":"http://arxiv.org/pdf/1508.01585v2.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":"applying-deep-learning-to-answer-selection-a","repo_url":"https://github.com/shuzi/insuranceQA","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null},{"paper_slug":"applying-deep-learning-to-answer-selection-a","repo_url":"https://github.com/sachinbiradar9/question-answer-selection","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"answer-selection","task_name":"Answer Selection"},{"task_slug":"question-answering","task_name":"Question Answering"}],"methods":[],"datasets_introduced":[{"slug":"insuranceqa","name":"InsuranceQA","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1508.01585","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}