---
title: "Who cites How Good is Your Wikipedia? — 6 citing papers"
description: "6 papers of the Elamur Research library cite «How Good is Your Wikipedia? Auditing Data Quality for Low-resource and Multilingual NLP»…"
canonical: "https://research.elamur.ai/free/en/papers/tatariya-2026-how-good-is-your-wikipedia/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/tatariya-2026-how-good-is-your-wikipedia/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [How Good is Your Wikipedia? Auditing Data Quality…](https://md.research.elamur.ai/free/en/papers/tatariya-2026-how-good-is-your-wikipedia/) / cited by

# Who cites «How Good is Your Wikipedia? Auditing Data Quality for Low-resource and Multilingual NLP»

6 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «How Good is Your Wikipedia? Auditing Data Quality for Low-resource and Multilingual NLP»](https://md.research.elamur.ai/free/en/papers/tatariya-2026-how-good-is-your-wikipedia/)

1. **[Form and Meaning in Intrinsic Multilingual Evaluations](https://md.research.elamur.ai/free/en/papers/poelman-2026-form-meaning-intrinsic-multilingual-evaluations/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Wessel Poelman, Miryam de Lhoneux*2026 · 1 citation*
2. **[Entity Linking for Faroese Using Large Language Models with Web Search](https://md.research.elamur.ai/free/en/papers/simonsen-2026-entity-linking-faroese-large-language/) [Workshop on the Role of Resources in the Age of Large Language Models](https://md.research.elamur.ai/free/en/venues/resourceful/)**Annika Simonsen, Iben Nyholm Debess, Hafsteinn Einarsson*2026*
3. **[Quality and Appropriateness of Large Text Datasets for Irish NLP](https://md.research.elamur.ai/free/en/papers/walsh-2026-quality-appropriateness-large-text-datasets/) [SIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered Languages](https://md.research.elamur.ai/free/en/venues/sigul/)**Abigail Walsh, Mark Andrade, Jane Lauren Adkins, et al.*2026*

3 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/tatariya-2026-how-good-is-your-wikipedia/) — How Good is Your Wikipedia? Auditing Data Quality for Low-resource and Multilingual NLP