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.
| Task | Dataset | Metric | Value | Model |
|---|---|---|---|---|
| Semantic Parsing | SemEval 2019 Task 1 | English-20K (open) F1 | 67.2 | Transition-based |
| Semantic Parsing | SemEval 2019 Task 1 | English-Wiki (open) F1 | 72.8 | Transition-based |