Papers › A Transition-Based Directed Acyclic Graph Parser for UCCA
A Transition-Based Directed Acyclic Graph Parser for UCCA
Daniel Hershcovich, Omri Abend, Ari Rappoport
We present the first parser for UCCA, a cross-linguistically applicable framework for semantic representation, which builds on extensive typological work and supports rapid annotation. UCCA poses a challenge for existing parsing techniques, as it exhibits reentrancy (resulting in DAG structures), discontinuous structures and non-terminal nodes corresponding to complex semantic units. To our knowledge, the conjunction of these formal properties is not supported by any existing parser. Our transition-based parser, which uses a novel transition set and features based on bidirectional LSTMs, has value not just for UCCA parsing: its ability to handle more general graph structures can inform the development of parsers for other semantic DAG structures, and in languages that frequently use discontinuous structures.
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Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| UCCA Parsing | SemEval 2019 Task 1 | Transition-based | English-20K (open) F1 | 67.2 | #4 of 4 | Archive leaderboard | report |
| UCCA Parsing | SemEval 2019 Task 1 | Transition-based | English-Wiki (open) F1 | 72.8 | #4 of 4 | Archive leaderboard | report |
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