SemEval-2019 Task 1: Cross-lingual Semantic Parsing with UCCA
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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.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 6 Mar 2019.
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Citing papers per year: 2021: 4; 2022: 0; 2023: 1.
5 papers.
- 2021Zero-Shot Cross-lingual Semantic Parsingcited by 19
- 2023Optimal Transport Posterior Alignment for Cross-lingual Semantic Parsingcited by 2
- 2021Great Service! Fine-grained Parsing of Implicit Argumentscited by 0
- 2021Android Security using NLP Techniques: A Reviewcited by 0
- 2021Self-Attentive Constituency Parsing for UCCA-based Semantic Parsingcited by 0
- 2023Optimal Transport Posterior Alignment for Cross-lingual Semantic Parsing9 Jul 2023
- 2021Self-Attentive Constituency Parsing for UCCA-based Semantic Parsing1 Oct 2021
- 2021Android Security using NLP Techniques: A Review7 Jul 2021
- 2021Great Service! Fine-grained Parsing of Implicit Arguments4 Jun 2021
- 2021Zero-Shot Cross-lingual Semantic Parsing15 Apr 2021