# SemEval-2019 Task 1: Cross-lingual Semantic Parsing with UCCA

arXiv: https://arxiv.org/abs/1903.02953 · HTML: https://mlsanity.com/paper/1903.02953/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 6 Mar 2019.

## Built on by (most cited first, 5 of 5)

- [Zero-Shot Cross-lingual Semantic Parsing](https://mlsanity.com/paper/2104.07554/) (2021)
- [Optimal Transport Posterior Alignment for Cross-lingual Semantic Parsing](https://mlsanity.com/paper/2307.04096/) (2023)
- [Great Service! Fine-grained Parsing of Implicit Arguments](https://mlsanity.com/paper/2106.02561/) (2021)
- [Android Security using NLP Techniques: A Review](https://mlsanity.com/paper/2107.03072/) (2021)
- [Self-Attentive Constituency Parsing for UCCA-based Semantic Parsing](https://mlsanity.com/paper/2110.00621/) (2021)

## Abstract (arXiv)

We present the SemEval 2019 shared task on UCCA parsing in English, German and French, and discuss the participating systems and results. UCCA is 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. The shared task has yielded improvements over the state-of-the-art baseline in all languages and settings. Full results can be found in the task's website urlhttps://competitions.codalab.org/competitions/19160.