{"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/socaog-incremental-graph-parsing-for-social","title":"SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues","arxiv_id":"2106.01006","date":"2021-06-02","proceeding":"ACL 2021 5","authors":["Liang Qiu","Yuan Liang","Yizhou Zhao","Pan Lu","Baolin Peng","Zhou Yu","Ying Nian Wu","Song-Chun Zhu"],"abstract":"Inferring social relations from dialogues is vital for building emotionally intelligent robots to interpret human language better and act accordingly. We model the social network as an And-or Graph, named SocAoG, for the consistency of relations among a group and leveraging attributes as inference cues. Moreover, we formulate a sequential structure prediction task, and propose an $\\alpha$-$\\beta$-$\\gamma$ strategy to incrementally parse SocAoG for the dynamic inference upon any incoming utterance: (i) an $\\alpha$ process predicting attributes and relations conditioned on the semantics of dialogues, (ii) a $\\beta$ process updating the social relations based on related attributes, and (iii) a $\\gamma$ process updating individual's attributes based on interpersonal social relations. Empirical results on DialogRE and MovieGraph show that our model infers social relations more accurately than the state-of-the-art methods. Moreover, the ablation study shows the three processes complement each other, and the case study demonstrates the dynamic relational inference.","url_abs":"https://arxiv.org/abs/2106.01006v3","url_pdf":"https://arxiv.org/pdf/2106.01006v3.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":[],"tasks":[{"task_slug":"dialog-relation-extraction","task_name":"Dialog Relation Extraction"},{"task_slug":null,"task_name":"Relation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/dialog-relation-extraction-on-dialogre","task":"Dialog Relation Extraction","dataset":"DialogRE","model":"SocAoG","rank_in_archive_order":5,"of":17,"metrics":{"F1 (v2)":"69.1","F1c (v2)":"66.5"},"uses_additional_data":false}],"syntology":{"syntology_url":"https://syntology.ai/paper/2106.01006","atlas_url":"https://app.syntology.ai/?focus=2106.01006","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}