Cross-lingual Semantic Representation for NLP with UCCA

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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.
Original languageEnglish
Title of host publicationProceedings of the 28th International Conference on Computational Linguistics
Subtitle of host publicationTutorial Abstracts
EditorsLucia Specia, Daniel Beck
Place of Publication International Committee for Computational Linguistics
PublisherInternational Committee for Computational Linguistics
Number of pages9
StatePublished - Dec 2020
Event28th International Conference on Computational Linguistics, COLING 2020 - Barcelona, Spain (Online), Barcelona, Spain
Duration: 12 Dec 202012 Dec 2020
Conference number: 28


Conference28th International Conference on Computational Linguistics, COLING 2020
Internet address


  • Universal Conceptual Cognitive Annotation
  • UCCA
  • semantic representation
  • natural language processing
  • NLP


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