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            <title>Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)</title>
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    <abstract>This paper begins with the premise that adverbs are neglected in computational linguistics. This view derives from two analyses: a literature review and a novel adverb dataset to probe a state-of-the-art language model, thereby uncovering systematic gaps in accounts for adverb meaning. We suggest that using Frame Semantics for characterizing word meaning, as in FrameNet, provides a promising approach to adverb analysis, given its ability to describe ambiguity, semantic roles, and null instantiation.</abstract>
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%0 Conference Proceedings
%T Adverbs, Surprisingly
%A Nikolaev, Dmitry
%A Baker, Collin
%A Petruck, Miriam R. L.
%A Padó, Sebastian
%Y Palmer, Alexis
%Y Camacho-collados, Jose
%S Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F nikolaev-etal-2023-adverbs
%X This paper begins with the premise that adverbs are neglected in computational linguistics. This view derives from two analyses: a literature review and a novel adverb dataset to probe a state-of-the-art language model, thereby uncovering systematic gaps in accounts for adverb meaning. We suggest that using Frame Semantics for characterizing word meaning, as in FrameNet, provides a promising approach to adverb analysis, given its ability to describe ambiguity, semantic roles, and null instantiation.
%R 10.18653/v1/2023.starsem-1.44
%U https://aclanthology.org/2023.starsem-1.44
%U https://doi.org/10.18653/v1/2023.starsem-1.44
%P 512-526

Markdown (Informal)

[Adverbs, Surprisingly](https://aclanthology.org/2023.starsem-1.44) (Nikolaev et al., *SEM 2023)

• Adverbs, Surprisingly (Nikolaev et al., *SEM 2023)

ACL

• Dmitry Nikolaev, Collin Baker, Miriam R. L. Petruck, and Sebastian Padó. 2023. Adverbs, Surprisingly. In Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023), pages 512–526, Toronto, Canada. Association for Computational Linguistics.