Cross-lingual Semantic Representation for NLP with UCCA

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

doi:10.18653/v1/2020.coling-tutorials.1

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 proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings of the 28th International Conference on Computational Linguistics
Subtitle of host publication	Tutorial Abstracts
Editors	Lucia Specia, Daniel Beck
Place of Publication	International Committee for Computational Linguistics
Publisher	International Committee for Computational Linguistics
Pages	1-9
Number of pages	9
DOIs	https://doi.org/10.18653/v1/2020.coling-tutorials.1
State	Published - Dec 2020
Event	28th International Conference on Computational Linguistics, COLING 2020 - Barcelona, Spain (Online), Barcelona, Spain Duration: 12 Dec 2020 → 12 Dec 2020 Conference number: 28 https://aclanthology.org/2020.coling-tutorials.0/

Conference

Conference	28th International Conference on Computational Linguistics, COLING 2020
Country/Territory	Spain
City	Barcelona
Period	12/12/20 → 12/12/20
Internet address	https://aclanthology.org/2020.coling-tutorials.0/

Keywords

Universal Conceptual Cognitive Annotation
UCCA
semantic representation
natural language processing
NLP

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10.18653/v1/2020.coling-tutorials.1License: Unspecified

Cite this

Abend, O., Dvir, D., Hershcovich, D., Prange, J., & Schneider, N. (2020). Cross-lingual Semantic Representation for NLP with UCCA. In L. Specia, & D. Beck (Eds.), Proceedings of the 28th International Conference on Computational Linguistics: Tutorial Abstracts (pp. 1-9). International Committee for Computational Linguistics. https://doi.org/10.18653/v1/2020.coling-tutorials.1

Abend, Omri ; Dvir, Dotan ; Hershcovich, Daniel et al. / Cross-lingual Semantic Representation for NLP with UCCA. Proceedings of the 28th International Conference on Computational Linguistics: Tutorial Abstracts. editor / Lucia Specia ; Daniel Beck. International Committee for Computational Linguistics : International Committee for Computational Linguistics, 2020. pp. 1-9

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title = "Cross-lingual Semantic Representation for NLP with UCCA",

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.",

keywords = "Universal Conceptual Cognitive Annotation, UCCA, semantic representation, natural language processing, NLP",

author = "Omri Abend and Dotan Dvir and Daniel Hershcovich and Jakob Prange and Nathan Schneider",

year = "2020",

month = dec,

doi = "10.18653/v1/2020.coling-tutorials.1",

language = "אנגלית",

pages = "1--9",

editor = "Lucia Specia and Daniel Beck",

booktitle = "Proceedings of the 28th International Conference on Computational Linguistics",

publisher = "International Committee for Computational Linguistics",

note = "28th International Conference on Computational Linguistics, COLING 2020 ; Conference date: 12-12-2020 Through 12-12-2020",

url = "https://aclanthology.org/2020.coling-tutorials.0/",

}

Abend, O, Dvir, D, Hershcovich, D, Prange, J & Schneider, N 2020, Cross-lingual Semantic Representation for NLP with UCCA. in L Specia & D Beck (eds), Proceedings of the 28th International Conference on Computational Linguistics: Tutorial Abstracts. International Committee for Computational Linguistics, International Committee for Computational Linguistics, pp. 1-9, 28th International Conference on Computational Linguistics, COLING 2020, Barcelona, Spain, 12/12/20. https://doi.org/10.18653/v1/2020.coling-tutorials.1

Cross-lingual Semantic Representation for NLP with UCCA. / Abend, Omri; Dvir, Dotan; Hershcovich, Daniel et al.
Proceedings of the 28th International Conference on Computational Linguistics: Tutorial Abstracts. ed. / Lucia Specia; Daniel Beck. International Committee for Computational Linguistics: International Committee for Computational Linguistics, 2020. p. 1-9.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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Abend O, Dvir D, Hershcovich D, Prange J, Schneider N. Cross-lingual Semantic Representation for NLP with UCCA. In Specia L, Beck D, editors, Proceedings of the 28th International Conference on Computational Linguistics: Tutorial Abstracts. International Committee for Computational Linguistics: International Committee for Computational Linguistics. 2020. p. 1-9 doi: 10.18653/v1/2020.coling-tutorials.1

Cross-lingual Semantic Representation for NLP with UCCA

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