{"url":"/task/ucca-parsing","name":"UCCA Parsing","slug":"ucca-parsing","description_markdown":"UCCA (Abend and Rappoport, 2013) is a semantic representation whose main design principles are ease of annotation, cross-linguistic applicability, and a modular architecture. UCCA represents the semantics of linguistic utterances as directed acyclic graphs (DAGs), where terminal (childless) nodes correspond to the text tokens, and non-terminal nodes to semantic units that participate in some super-ordinate relation. Edges are labeled, indicating the role of a child in the relation the parent represents. UCCA’s foundational layer mostly covers predicate-argument structure, semantic heads and inter-Scene relations. UCCA distinguishes primary edges, corresponding to explicit relations, from remote edges that allow for a unit to participate in several super-ordinate relations. Primary edges form a tree in each layer, whereas remote edges enable reentrancy, forming a DAG.\r\n\r\nDescription from [NLP Progress](http://nlpprogress.com/english/semantic_parsing.html)","categories":[{"name":"Natural Language Processing","url":"/area/natural-language-processing"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":13,"papers_with_code":4,"benchmarks":2,"benchmark_tables_in_archive":2,"benchmark_tables_shown":2,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":1,"subtasks":0,"parent_tasks":1},"benchmarks":[{"leaderboard":"/sota/ucca-parsing-on-semeval-2019-task-1","slug":"ucca-parsing-on-semeval-2019-task-1","dataset":"SemEval 2019 Task 1","dataset_url":null,"rows_in_archive":4,"metrics":["English-Wiki (open) F1","English-20K (open) F1"],"first_row_in_archive_order":{"model":"Constituent Tree Parsing (+BERT)","paper_title":"HLT@SUDA at SemEval-2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing","paper_url":"/paper/hltsuda-at-semeval-2019-task-1-ucca-graph-1","paper_date":"2019-06-01","arxiv_id":null,"code_links":[],"syntology":null}},{"leaderboard":"/sota/ucca-parsing-on-conll-2019","slug":"ucca-parsing-on-conll-2019","dataset":"CoNLL 2019","dataset_url":"/dataset/conll-1","rows_in_archive":3,"metrics":["Full UCCA F1","Full MRP F1","LPP UCCA F1","LPP MRP F1"],"first_row_in_archive_order":{"model":"Transition-based  (+BERT + Efficient Training + Effective Encoding)","paper_title":"HIT-SCIR at MRP 2019: A Unified Pipeline for Meaning Representation Parsing via Efficient Training and Effective Encoding","paper_url":"/paper/hit-scir-at-mrp-2019-a-unified-pipeline-for","paper_date":"2019-11-01","arxiv_id":null,"code_links":[],"syntology":null}}],"datasets":[{"url":"/dataset/conll-1","name":"CoNLL","full_name":"","num_papers_in_archive":187}],"subtasks":[],"parent_tasks":[{"url":"/task/semantic-parsing","name":"Semantic Parsing"}],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":4,"of":4,"tagged_in_all":13,"items":[{"url":"/paper/content-differences-in-syntactic-and-semantic-1","title":"Content Differences in Syntactic and Semantic Representation","date":"2019-06-01","arxiv_id":null,"repositories_listed":2,"syntology":null},{"url":"/paper/content-differences-in-syntactic-and-semantic","title":"Content Differences in Syntactic and Semantic Representations","date":"2019-03-15","arxiv_id":"1903.06494","repositories_listed":1,"syntology":null},{"url":"/paper/multitask-parsing-across-semantic","title":"Multitask Parsing Across Semantic Representations","date":"2018-05-01","arxiv_id":"1805.00287","repositories_listed":1,"syntology":null},{"url":"/paper/a-transition-based-directed-acyclic-graph","title":"A Transition-Based Directed Acyclic Graph Parser for UCCA","date":"2017-04-03","arxiv_id":"1704.00552","repositories_listed":1,"syntology":null}],"syntology_records":0,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}