Subcategorizing Adverbials in Universal Conceptual Cognitive Annotation

Zhuxin Wang, Jakob Prange, Nathan Schneider


Abstract
Universal Conceptual Cognitive Annotation (UCCA) is a semantic annotation scheme that organizes texts into coarse predicate-argument structure, offering broad coverage of semantic phenomena. At the same time, there is still need for a finer-grained treatment of many of the categories. The Adverbial category is of special interest, as it covers a wide range of fundamentally different meanings such as negation, causation, aspect, and event quantification. In this paper we introduce a refinement annotation scheme for UCCA’s Adverbial category, showing that UCCA Adverbials can indeed be subcategorized into at least 7 semantic types, and doing so can help clarify and disambiguate the otherwise coarse-grained labels. We provide a preliminary set of annotation guidelines, as well as pilot annotation experiments with high inter-annotator agreement, confirming the validity of the scheme.
Anthology ID:
2021.law-1.10
Volume:
Proceedings of The Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop
Month:
November
Year:
2021
Address:
Punta Cana, Dominican Republic
Venues:
DMR | EMNLP | LAW
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
96–105
Language:
URL:
https://aclanthology.org/2021.law-1.10
DOI:
10.18653/v1/2021.law-1.10
Bibkey:
Cite (ACL):
Zhuxin Wang, Jakob Prange, and Nathan Schneider. 2021. Subcategorizing Adverbials in Universal Conceptual Cognitive Annotation. In Proceedings of The Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop, pages 96–105, Punta Cana, Dominican Republic. Association for Computational Linguistics.
Cite (Informal):
Subcategorizing Adverbials in Universal Conceptual Cognitive Annotation (Wang et al., LAW 2021)
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PDF:
https://aclanthology.org/2021.law-1.10.pdf