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Daniel Hershcovich; Omri Abend; Ari Rappoport

Abstract
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.
Code Repositories
Benchmarks
| Benchmark | Methodology | Metrics |
|---|---|---|
| ucca-parsing-on-semeval-2019-task-1 | Transition-based | English-20K (open) F1: 67.2 English-Wiki (open) F1: 72.8 |
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