{"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/yuanfudao-at-semeval-2018-task-11-three-way","title":"Yuanfudao at SemEval-2018 Task 11: Three-way Attention and Relational Knowledge for Commonsense Machine Comprehension","arxiv_id":"1803.00191","date":"2018-03-01","proceeding":"SEMEVAL 2018 6","authors":["Liang Wang","Meng Sun","Wei Zhao","Kewei Shen","Jingming Liu"],"abstract":"This paper describes our system for SemEval-2018 Task 11: Machine\nComprehension using Commonsense Knowledge. We use Three-way Attentive Networks\n(TriAN) to model interactions between the passage, question and answers. To\nincorporate commonsense knowledge, we augment the input with relation embedding\nfrom the graph of general knowledge ConceptNet (Speer et al., 2017). As a\nresult, our system achieves state-of-the-art performance with 83.95% accuracy\non the official test data. Code is publicly available at\nhttps://github.com/intfloat/commonsense-rc","url_abs":"http://arxiv.org/abs/1803.00191v5","url_pdf":"http://arxiv.org/pdf/1803.00191v5.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":"yuanfudao-at-semeval-2018-task-11-three-way","repo_url":"https://github.com/intfloat/commonsense-rc","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"yuanfudao-at-semeval-2018-task-11-three-way","repo_url":"https://github.com/akamath11/Multiple-choice-comprehension","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"general-knowledge","task_name":"General Knowledge"},{"task_slug":"reading-comprehension","task_name":"Reading Comprehension"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1803.00191","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}