Mevaker: Conclusion Extraction and Allocation Resources for the Hebrew Language
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arXiv
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| Format: | Preprint |
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2024
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| _version_ | 1866910367913869312 |
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| author | Shalumov, Vitaly Haskey, Harel Solaz, Yuval |
| author_facet | Shalumov, Vitaly Haskey, Harel Solaz, Yuval |
| contents | 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. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2403_09719 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Mevaker: Conclusion Extraction and Allocation Resources for the Hebrew Language Shalumov, Vitaly Haskey, Harel Solaz, Yuval Computation and Language Artificial Intelligence 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. |
| title | Mevaker: Conclusion Extraction and Allocation Resources for the Hebrew Language |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2403.09719 |