{"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/attentive-interaction-model-modeling-changes","title":"Attentive Interaction Model: Modeling Changes in View in Argumentation","arxiv_id":"1804.00065","date":"2018-03-30","proceeding":"NAACL 2018 6","authors":["Yohan Jo","Shivani Poddar","Byungsoo Jeon","Qinlan Shen","Carolyn P. Rose","Graham Neubig"],"abstract":"We present a neural architecture for modeling argumentative dialogue that\nexplicitly models the interplay between an Opinion Holder's (OH's) reasoning\nand a challenger's argument, with the goal of predicting if the argument\nsuccessfully changes the OH's view. The model has two components: (1)\nvulnerable region detection, an attention model that identifies parts of the\nOH's reasoning that are amenable to change, and (2) interaction encoding, which\nidentifies the relationship between the content of the OH's reasoning and that\nof the challenger's argument. Based on evaluation on discussions from the\nChange My View forum on Reddit, the two components work together to predict an\nOH's change in view, outperforming several baselines. A posthoc analysis\nsuggests that sentences picked out by the attention model are addressed more\nfrequently by successful arguments than by unsuccessful ones.","url_abs":"http://arxiv.org/abs/1804.00065v2","url_pdf":"http://arxiv.org/pdf/1804.00065v2.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":"attentive-interaction-model-modeling-changes","repo_url":"https://github.com/yohanjo/aim","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1804.00065","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}