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

Daniel Hershcovich, Zohar Aizenbud, Leshem Choshen, Elior Sulem, Ari Rappoport, Omri Abend


Abstract
We present the SemEval 2019 shared task on Universal Conceptual Cognitive Annotation (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 https://competitions.codalab.org/competitions/19160.
Anthology ID:
S19-2001
Original:
S19-2001v1
Version 2:
S19-2001v2
Volume:
Proceedings of the 13th International Workshop on Semantic Evaluation
Month:
June
Year:
2019
Address:
Minneapolis, Minnesota, USA
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
1–10
Language:
URL:
https://aclanthology.org/S19-2001
DOI:
10.18653/v1/S19-2001
Bibkey:
Cite (ACL):
Daniel Hershcovich, Zohar Aizenbud, Leshem Choshen, Elior Sulem, Ari Rappoport, and Omri Abend. 2019. SemEval-2019 Task 1: Cross-lingual Semantic Parsing with UCCA. In Proceedings of the 13th International Workshop on Semantic Evaluation, pages 1–10, Minneapolis, Minnesota, USA. Association for Computational Linguistics.
Cite (Informal):
SemEval-2019 Task 1: Cross-lingual Semantic Parsing with UCCA (Hershcovich et al., SemEval 2019)
Copy Citation:
PDF:
https://preview.aclanthology.org/paclic-22-ingestion/S19-2001.pdf
Presentation:
 S19-2001.Presentation.pdf
Data
Universal Dependencies