CHEW: A Dataset of CHanging Events in Wikipedia

Hsuvas Borkakoty, Luis Espinosa-Anke
6/27/2024
cs.CLcs.AIcs.LG

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Abstract

We introduce CHEW, a novel dataset of changing events in Wikipedia expressed in naturally occurring text. We use CHEW for probing LLMs for their timeline understanding of Wikipedia entities and events in generative and classification experiments. Our results suggest that LLMs, despite having temporal information available, struggle to construct accurate timelines. We further show the usefulness of CHEW-derived embeddings for identifying meaning shift.

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Cite this paper

@article{borkakoty2024chew,
  title  = {CHEW: A Dataset of CHanging Events in Wikipedia},
  author = {Hsuvas Borkakoty and Luis Espinosa-Anke},
  year   = {2024},
  eprint = {2406.19116},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2406.19116v1}
}

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