Mevaker: Conclusion Extraction and Allocation Resources for the Hebrew Language

Vitaly Shalumov, Harel Haskey, Yuval Solaz
3/12/2024
cs.CLcs.AI

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Abstract

In this paper, we introduce summarization MevakerSumm and conclusion extraction MevakerConc datasets for the Hebrew language based on the State Comptroller and Ombudsman of Israel reports, along with two auxiliary datasets. We accompany these datasets with models for conclusion extraction (HeConE, HeConEspc) and conclusion allocation (HeCross). All of the code, datasets, and model checkpoints used in this work are publicly available.

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Cite this paper

@article{shalumov2024mevaker,
  title  = {Mevaker: Conclusion Extraction and Allocation Resources for the Hebrew Language},
  author = {Vitaly Shalumov and Harel Haskey and Yuval Solaz},
  year   = {2024},
  eprint = {2403.09719},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2403.09719v1}
}

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