Cross-lingual Semantic Representation for NLP with UCCA

Omri Abend, Dotan Dvir, Daniel Hershcovich, Jakob Prange, Nathan Schneider


Abstract
This is an introductory tutorial to UCCA (Universal Conceptual Cognitive Annotation), a cross-linguistically applicable framework for semantic representation, with corpora annotated in English, German and French, and ongoing annotation in Russian and Hebrew. UCCA builds on extensive typological work and supports rapid annotation. The tutorial will provide a detailed introduction to the UCCA annotation guidelines, design philosophy and the available resources; and a comparison to other meaning representations. It will also survey the existing parsing work, including the findings of three recent shared tasks, in SemEval and CoNLL, that addressed UCCA parsing. Finally, the tutorial will present recent applications and extensions to the scheme, demonstrating its value for natural language processing in a range of languages and domains.
Anthology ID:
2020.coling-tutorials.1
Volume:
Proceedings of the 28th International Conference on Computational Linguistics: Tutorial Abstracts
Month:
December
Year:
2020
Address:
Barcelona, Spain (Online)
Editors:
Lucia Specia, Daniel Beck
Venue:
COLING
SIG:
Publisher:
International Committee for Computational Linguistics
Note:
Pages:
1–9
Language:
URL:
https://aclanthology.org/2020.coling-tutorials.1
DOI:
10.18653/v1/2020.coling-tutorials.1
Bibkey:
Cite (ACL):
Omri Abend, Dotan Dvir, Daniel Hershcovich, Jakob Prange, and Nathan Schneider. 2020. Cross-lingual Semantic Representation for NLP with UCCA. In Proceedings of the 28th International Conference on Computational Linguistics: Tutorial Abstracts, pages 1–9, Barcelona, Spain (Online). International Committee for Computational Linguistics.
Cite (Informal):
Cross-lingual Semantic Representation for NLP with UCCA (Abend et al., COLING 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.coling-tutorials.1.pdf
Data
FrameNet