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        <title>Subcategorizing Adverbials in Universal Conceptual Cognitive Annotation</title>
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        <namePart type="given">Zhuxin</namePart>
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    <name type="personal">
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        <name type="personal">
            <namePart type="given">Claire</namePart>
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        <name type="personal">
            <namePart type="given">Nianwen</namePart>
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    <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.</abstract>
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    <identifier type="doi">10.18653/v1/2021.law-1.10</identifier>
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%0 Conference Proceedings
%T Subcategorizing Adverbials in Universal Conceptual Cognitive Annotation
%A Wang, Zhuxin
%A Prange, Jakob
%A Schneider, Nathan
%Y Bonial, Claire
%Y Xue, Nianwen
%S Proceedings of the Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop
%D 2021
%8 November
%I Association for Computational Linguistics
%C Punta Cana, Dominican Republic
%F wang-etal-2021-subcategorizing
%X 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.
%R 10.18653/v1/2021.law-1.10
%U https://aclanthology.org/2021.law-1.10
%U https://doi.org/10.18653/v1/2021.law-1.10
%P 96-105

Markdown (Informal)

[Subcategorizing Adverbials in Universal Conceptual Cognitive Annotation](https://aclanthology.org/2021.law-1.10) (Wang et al., LAW 2021)

• Subcategorizing Adverbials in Universal Conceptual Cognitive Annotation (Wang et al., LAW 2021)

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.