Mevaker: Conclusion Extraction and Allocation Resources for the Hebrew Language
<|reference_start|>Mevaker: Conclusion Extraction and Allocation Resources for the Hebrew Language: 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.<|reference_end|>
@article{shalumov2024mevaker:,
    title={Mevaker: Conclusion Extraction and Allocation Resources for the Hebrew
  Language},
    author={Vitaly Shalumov, Harel Haskey, Yuval Solaz},
    journal={arXiv preprint arXiv:2403.09719},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.09719},
    primaryClass={cs.CL cs.AI}
}