---
title: "Who cites Quoref: A Reading Comprehension Dataset with…"
description: "The papers of the Elamur Research library that cite «Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning», found in…"
canonical: "https://research.elamur.ai/free/en/papers/dasigi-2019-quoref-reading-comprehension-dataset-questions/cited-by/page/2/"
---
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# Who cites «Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning» · page 2

109 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/dasigi-2019-quoref-reading-comprehension-dataset-questions/)

Pages: [1](https://md.research.elamur.ai/free/en/papers/dasigi-2019-quoref-reading-comprehension-dataset-questions/cited-by/) · **2**

1. [MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics](https://aclanthology.org/2020.emnlp-main.528/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
2. [Overestimation of Syntactic Representation in Neural Language Models](https://aclanthology.org/2020.acl-main.160/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
3. [Robust Machine Reading Comprehension by Learning Soft labels](https://aclanthology.org/2020.coling-main.248/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
4. [TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions](https://md.research.elamur.ai/free/en/papers/ning-2020-torque-reading-comprehension-dataset-temporal/) *— our card · 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
5. [The Extraordinary Failure of Complement Coercion Crowdsourcing](https://aclanthology.org/2020.insights-1.17/) *— 2020 · Proceedings of the First Workshop on Insights from Negative Results in NLP*
6. [To Test Machine Comprehension, Start by Defining Comprehension](https://arxiv.org/abs/2005.01525) *— 2020 · arXiv:2005.01525*
7. [UNIFIEDQA: Crossing Format Boundaries with a Single QA System](https://aclanthology.org/2020.findings-emnlp.171/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
8. [Comprehensive Multi-Dataset Evaluation of Reading Comprehension](https://aclanthology.org/D19-5820/) *— 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering*
9. [On Making Reading Comprehension More Comprehensive](https://aclanthology.org/D19-5815/) *— 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering*

Pages: [1](https://md.research.elamur.ai/free/en/papers/dasigi-2019-quoref-reading-comprehension-dataset-questions/cited-by/) · **2**