BibTeX

@inproceedings{nikolaev23:_adver,
  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.
},
  added-at = {2023-05-16T14:56:38.000+0200},
  address = {Toronto, Canada},
  author = {Nikolaev, Dmitry and Baker, Collin and Petruck, Miriam R. L. and Pad{ó}, Sebastian},
  biburl = {https://puma.ub.uni-stuttgart.de/bibtex/240281f8254d2c4178f0777f53ce9158b/sp},
  booktitle = {Proceedings of STARSEM},
  interhash = {3639063158f8d1a513da26f8fadfa0d3},
  intrahash = {40281f8254d2c4178f0777f53ce9158b},
  keywords = {conference myown},
  timestamp = {2023-07-23T16:04:35.000+0200},
  title = {Adverbs, surprisingly},
  url = {https://aclanthology.org/2023.starsem-1.44.pdf},
  year = 2023
}