{"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/anchor-and-broadcast-an-efficient-concept","title":"Anchor and Broadcast: An Efficient Concept Alignment Approach for Evaluation of Semantic Graphs","arxiv_id":null,"date":"2024-05-20","proceeding":"Joint International Conference on Computational Linguistics, Language Resources and Evaluation 2024 5","authors":["Haibo Sun","Nianwen Xue"],"abstract":"In this paper, we present AnCast, an intuitive and efficient tool for evaluating graph-based meaning representations (MR). AnCast implements evaluation metrics that are well understood in the NLP community, and they include concept F1, unlabeled relation F1, labeled relation F1, and weighted relation F1. The efficiency of the tool comes from a novel anchor broadcast alignment algorithm that is not subject to the trappings of local maxima. We show through experimental results that the AnCast score is highly correlated with the widely used Smatch score, but its computation takes only about 40% the time.","url_abs":"https://aclanthology.org/2024.lrec-main.94/","url_pdf":"https://aclanthology.org/2024.lrec-main.94.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":"anchor-and-broadcast-an-efficient-concept","repo_url":"https://github.com/sxndqc/ancast","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"amr-graph-similarity","task_name":"AMR Graph Similarity"},{"task_slug":"concept-alignment","task_name":"Concept Alignment"},{"task_slug":null,"task_name":"Relation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/amr-graph-similarity-on-benchmark-for-amr","task":"AMR Graph Similarity","dataset":"Benchmark for AMR Metrics based on Overt Objectives","model":"ancast","rank_in_archive_order":1,"of":9,"metrics":{"Pearson’s ρ (amean)":"59.95"},"uses_additional_data":false}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}