mlsanityData to 7 Oct 2026

Adverbs, Surprisingly

arXiv 2305.19650 ↗First posted 31 May 2023cs.CLcited by 1

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Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 13 of its 68 references that are in the map. First posted on arXiv 31 May 2023.

Builds on

13 of 68 references.

References · 13

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  10. 2023Construction Grammar Provides Unique Insight into Neural Language Modelscited by 13
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  12. 2023Representation biases in sentence transformerscited by 7
1 more
  1. 2018Unsupervised Semantic Frame Induction using Triclusteringcited by 4

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