Who cites «Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning» · page 2
Pages: 1 · 2
- MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Overestimation of Syntactic Representation in Neural Language Models — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Robust Machine Reading Comprehension by Learning Soft labels — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
- TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions — our card · 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- The Extraordinary Failure of Complement Coercion Crowdsourcing — 2020 · Proceedings of the First Workshop on Insights from Negative Results in NLP
- To Test Machine Comprehension, Start by Defining Comprehension — 2020 · arXiv:2005.01525
- UNIFIEDQA: Crossing Format Boundaries with a Single QA System — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- Comprehensive Multi-Dataset Evaluation of Reading Comprehension — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
- On Making Reading Comprehension More Comprehensive — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
Pages: 1 · 2