---
title: "Who cites The NarrativeQA Reading Comprehension Challenge…"
description: "The papers of the Elamur Research library that cite «The NarrativeQA Reading Comprehension Challenge», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/kocisky-2018-narrativeqa-reading-comprehension-challenge/cited-by/page/5/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [The NarrativeQA Reading Comprehension Challenge](https://md.research.elamur.ai/free/en/papers/kocisky-2018-narrativeqa-reading-comprehension-challenge/) / cited by

# Who cites «The NarrativeQA Reading Comprehension Challenge» · page 5

435 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/kocisky-2018-narrativeqa-reading-comprehension-challenge/)

Pages: [1](https://md.research.elamur.ai/free/en/papers/kocisky-2018-narrativeqa-reading-comprehension-challenge/cited-by/) · … · [4](https://md.research.elamur.ai/free/en/papers/kocisky-2018-narrativeqa-reading-comprehension-challenge/cited-by/page/4/) · **5**

1. [Learning to Ask Unanswerable Questions for Machine Reading Comprehension](https://aclanthology.org/P19-1415/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
2. [Learning with Limited Data for Multilingual Reading Comprehension](https://aclanthology.org/D19-1283/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
3. [MCScript2.0: A Machine Comprehension Corpus Focused on Script Events and Participants](https://aclanthology.org/S19-1012/) *— 2019 · Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)*
4. [Movie Plot Analysis via Turning Point Identification](https://aclanthology.org/D19-1180/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
5. [Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs](https://aclanthology.org/P19-1260/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
6. [Multi-style Generative Reading Comprehension](https://aclanthology.org/P19-1220/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
7. [On Making Reading Comprehension More Comprehensive](https://aclanthology.org/D19-5815/) *— 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering*
8. [Question Answering by Reasoning Across Documents with Graph Convolutional Networks](https://aclanthology.org/N19-1240/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
9. [Question Answering for Privacy Policies: Combining Computational and Legal Perspectives](https://aclanthology.org/D19-1500/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
10. [Question Answering in the Biomedical Domain](https://aclanthology.org/P19-2008/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop*
11. [Reading Turn by Turn: Hierarchical Attention Architecture for Spoken Dialogue Comprehension](https://aclanthology.org/P19-1543/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
12. [Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches](https://arxiv.org/abs/1904.01172) *— 2019 · arXiv:1904.01172*
13. [Restoring ancient text using deep learning: a case study on Greek epigraphy](https://aclanthology.org/D19-1668/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
14. [Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives](https://aclanthology.org/P19-1486/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
15. [TWEETQA: A Social Media Focused Question Answering Dataset](https://aclanthology.org/P19-1496/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
16. [A Knowledge Hunting Framework for Common Sense Reasoning](https://aclanthology.org/D18-1220/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
17. [Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering](https://aclanthology.org/D18-1260/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
18. [Commonsense for Generative Multi-Hop Question Answering Tasks](https://aclanthology.org/D18-1454/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
19. [Comparative Analysis of Neural QA models on SQuAD](https://aclanthology.org/W18-2610/) *— 2018 · Proceedings of the Workshop on Machine Reading for Question Answering*
20. [Cut to the Chase: A Context Zoom-in Network for Reading Comprehension](https://aclanthology.org/D18-1054/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
21. [Deep Learning: A Critical Appraisal](https://arxiv.org/abs/1801.00631) *— 2018 · arXiv:1801.00631*
22. [DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension](https://aclanthology.org/P18-1156/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
23. [Efficient and Robust Question Answering from Minimal Context over Documents](https://aclanthology.org/P18-1160/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
24. [Learning to Search in Long Documents Using Document Structure](https://aclanthology.org/C18-1014/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
25. [Multi-Granular Sequence Encoding via Dilated Compositional Units for Reading Comprehension](https://aclanthology.org/D18-1238/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
26. [Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds](https://md.research.elamur.ai/free/en/papers/labutov-2018-multi-relational-question-answering-narratives/) *— our card · 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
27. [Neural Approaches to Conversational AI](https://arxiv.org/abs/1809.08267) *— 2018 · arXiv:1809.08267*
28. [QuAC: Question Answering in Context](https://aclanthology.org/D18-1241/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
29. [ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension](https://arxiv.org/abs/1810.12885) *— 2018 · arXiv:1810.12885*
30. [Telling Stories with Soundtracks: An Empirical Analysis of Music in Film](https://aclanthology.org/W18-1504/) *— 2018 · Proceedings of the First Workshop on Storytelling*
31. [The price of debiasing automatic metrics in natural language evalaution](https://aclanthology.org/P18-1060/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
32. [Towards Inference-Oriented Reading Comprehension: ParallelQA](https://aclanthology.org/W18-1001/) *— 2018 · Proceedings of the Workshop on Generalization in the Age of Deep Learning*
33. [What Makes Reading Comprehension Questions Easier?](https://aclanthology.org/D18-1453/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
34. [DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications](https://arxiv.org/abs/1711.05073) *— 2017 · arXiv:1711.05073*
35. [MS MARCO: A Human Generated MAchine Reading COmprehension Dataset](https://arxiv.org/abs/1611.09268) *— 2016 · arXiv:1611.09268*

Pages: [1](https://md.research.elamur.ai/free/en/papers/kocisky-2018-narrativeqa-reading-comprehension-challenge/cited-by/) · … · [4](https://md.research.elamur.ai/free/en/papers/kocisky-2018-narrativeqa-reading-comprehension-challenge/cited-by/page/4/) · **5**