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# Who cites «HeGeL: A Novel Dataset for Geo-Location from Hebrew Text»

3 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/findings-2023-argaman-hegel-novel-dataset-geo-location/)

1. [HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/findings-2024-argaman-hesum-novel-dataset-abstractive-text/) *— our card · 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
2. argaman-2024-into-unknown-generating-geospatial-descriptions
3. argaman-2024-where-do-we-go-here
- [← previous Who cites «Penn-Helsinki Parsed Corpus of Early Modern English: First Parsing Results and Analysis»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/findings-2022-kulick-penn-helsinki-parsed-corpus-early/)
- [next → Who cites «HeQ: a Large and Diverse Hebrew Reading Comprehension Benchmark»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/findings-2023-cohen-heq-large-diverse-hebrew-reading/)
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