{"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/modeling-semantics-with-gated-graph-neural","title":"Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering","arxiv_id":"1808.04126","date":"2018-08-13","proceeding":"COLING 2018 8","authors":["Daniil Sorokin","Iryna Gurevych"],"abstract":"The most approaches to Knowledge Base Question Answering are based on\nsemantic parsing. In this paper, we address the problem of learning vector\nrepresentations for complex semantic parses that consist of multiple entities\nand relations. Previous work largely focused on selecting the correct semantic\nrelations for a question and disregarded the structure of the semantic parse:\nthe connections between entities and the directions of the relations. We\npropose to use Gated Graph Neural Networks to encode the graph structure of the\nsemantic parse. We show on two data sets that the graph networks outperform all\nbaseline models that do not explicitly model the structure. The error analysis\nconfirms that our approach can successfully process complex semantic parses.","url_abs":"http://arxiv.org/abs/1808.04126v1","url_pdf":"http://arxiv.org/pdf/1808.04126v1.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":"modeling-semantics-with-gated-graph-neural","repo_url":"https://github.com/UKPLab/coling2018-graph-neural-networks-question-answering","is_official":0,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"knowledge-base-question-answering","task_name":"Knowledge Base Question Answering"},{"task_slug":"question-answering","task_name":"Question Answering"},{"task_slug":"semantic-parsing","task_name":"Semantic Parsing"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/knowledge-base-question-answering-on-webqsp","task":"Knowledge Base Question Answering","dataset":"WebQSP-WD","model":"GGNN","rank_in_archive_order":1,"of":1,"metrics":{"Avg F1":"0.2588"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1808.04126","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}