arXiv Analytics

Sign in

arXiv:2305.19650 [cs.CL]AbstractReferencesReviewsResources

Adverbs, Surprisingly

Dmitry Nikolaev, Collin F. Baker, Miriam R. L. Petruck, Sebastian Padó

Published 2023-05-31Version 1

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.

Related articles: Most relevant | Search more
arXiv:1308.5423 [cs.CL] (Published 2013-08-25)
A Literature Review: Stemming Algorithms for Indian Languages
arXiv:2205.10233 [cs.CL] (Published 2022-04-27)
RigoBERTa: A State-of-the-Art Language Model For Spanish
arXiv:1906.09569 [cs.CL] (Published 2019-06-23)
Systematic improvement of user engagement with academic titles using computational linguistics