{"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/stochastic-answer-networks-for-natural","title":"Stochastic Answer Networks for Natural Language Inference","arxiv_id":"1804.07888","date":"2018-04-21","proceeding":null,"authors":["Xiaodong Liu","Kevin Duh","Jianfeng Gao"],"abstract":"We propose a stochastic answer network (SAN) to explore multi-step inference\nstrategies in Natural Language Inference. Rather than directly predicting the\nresults given the inputs, the model maintains a state and iteratively refines\nits predictions. Our experiments show that SAN achieves the state-of-the-art\nresults on three benchmarks: Stanford Natural Language Inference (SNLI)\ndataset, MultiGenre Natural Language Inference (MultiNLI) dataset and Quora\nQuestion Pairs dataset.","url_abs":"http://arxiv.org/abs/1804.07888v2","url_pdf":"http://arxiv.org/pdf/1804.07888v2.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":"stochastic-answer-networks-for-natural","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":"stochastic-answer-networks-for-natural","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":"stochastic-answer-networks-for-natural","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":"natural-language-inference","task_name":"Natural Language Inference"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/natural-language-inference-on-snli","task":"Natural Language Inference","dataset":"SNLI","model":"Stochastic Answer Network","rank_in_archive_order":35,"of":98,"metrics":{"% Test Accuracy":"88.5","% Train Accuracy":"93.3","Parameters":"3.5m"},"uses_additional_data":false}],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1804.07888","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}