CLDec 31, 2020

UCCA's Foundational Layer: Annotation Guidelines v2.1

arXiv:2012.15810v11 citations
AI Analysis

This paper provides updated annotation guidelines for UCCA, a semantic annotation scheme, primarily for new and existing annotators.

This paper presents the annotation manual for UCCA's Foundational Layer, a graph-based semantic annotation scheme rooted in typological linguistic principles. It provides guidelines and examples, primarily in English, for applying this scheme.

This is the annotation manual for Universal Conceptual Cognitive Annotation (UCCA; Abend and Rappoport, 2013), specifically the Foundational Layer. UCCA is a graph-based semantic annotation scheme based on typological linguistic principles. It has been applied to several languages; for ease of exposition these guidelines give examples mainly in English. New annotators may wish to start with the tutorial on the UCCA framework (Abend et al., 2020). Further resources are available at the project homepage: https://universalconceptualcognitiveannotation.github.io

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Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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