Cross-lingual Semantic Representation for NLP with UCCA

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Documents

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 Linguistic : Tutorial Abstracts
PublisherAssociation for Computational Linguistics
Publication date2020
Pages1-9
Publication statusPublished - 2020
Event28th International Conference on Computational Linguistics - Online, Barcelona, Spain
Duration: 8 Dec 202013 Dec 2020

Conference

Conference28th International Conference on Computational Linguistics
LocationOnline
LandSpain
ByBarcelona
Periode08/12/202013/12/2020

Number of downloads are based on statistics from Google Scholar and www.ku.dk


No data available

ID: 254671875