---
title: "Who cites HeGeL: A Novel Dataset for Geo-Location from…"
description: "The papers of the Elamur Research library that cite «HeGeL: A Novel Dataset for Geo-Location from Hebrew Text», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/findings-2023-argaman-hegel-novel-dataset-geo-location/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/findings-2023-argaman-hegel-novel-dataset-geo-location/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [HeGeL: A Novel Dataset for Geo-Location from…](https://md.research.elamur.ai/free/en/papers/findings-2023-argaman-hegel-novel-dataset-geo-location/) / cited by

# 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.research.elamur.ai/free/en/papers/findings-2023-argaman-hegel-novel-dataset-geo-location/)

1. [HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew](https://md.research.elamur.ai/free/en/papers/findings-2024-argaman-hesum-novel-dataset-abstractive-text/) *— our card · 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
2. [Into the Unknown: Generating Geospatial Descriptions for New Environments](https://aclanthology.org/2024.findings-acl.133/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
3. [Where Do We Go From Here? Multi-scale Allocentric Relational Inferencefrom Natural Spatial Descriptions](https://aclanthology.org/2024.eacl-long.62/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*