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arxiv:2403.09719
Mevaker: Conclusion Extraction and Allocation Resources for the Hebrew Language
Published on Mar 12, 2024
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Abstract
Datasets and models for conclusion extraction and allocation are introduced for the Hebrew language using State Comptroller and Ombudsman of Israel reports.
AI-generated summary
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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