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

Learning to Ask Unanswerable Questions for Machine Reading Comprehension — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
Learning with Limited Data for Multilingual Reading Comprehension — 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)
MCScript2.0: A Machine Comprehension Corpus Focused on Script Events and Participants — 2019 · Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)
Movie Plot Analysis via Turning Point Identification — 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)
Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
Multi-style Generative Reading Comprehension — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
On Making Reading Comprehension More Comprehensive — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
Question Answering by Reasoning Across Documents with Graph Convolutional Networks — 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)
Question Answering for Privacy Policies: Combining Computational and Legal Perspectives — 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)
Question Answering in the Biomedical Domain — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
Reading Turn by Turn: Hierarchical Attention Architecture for Spoken Dialogue Comprehension — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches — 2019 · arXiv:1904.01172
Restoring ancient text using deep learning: a case study on Greek epigraphy — 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)
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
TWEETQA: A Social Media Focused Question Answering Dataset — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
A Knowledge Hunting Framework for Common Sense Reasoning — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
Commonsense for Generative Multi-Hop Question Answering Tasks — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
Comparative Analysis of Neural QA models on SQuAD — 2018 · Proceedings of the Workshop on Machine Reading for Question Answering
Cut to the Chase: A Context Zoom-in Network for Reading Comprehension — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
Deep Learning: A Critical Appraisal — 2018 · arXiv:1801.00631
DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Efficient and Robust Question Answering from Minimal Context over Documents — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Learning to Search in Long Documents Using Document Structure — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
Multi-Granular Sequence Encoding via Dilated Compositional Units for Reading Comprehension — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds — our card · 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Neural Approaches to Conversational AI — 2018 · arXiv:1809.08267
QuAC: Question Answering in Context — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension — 2018 · arXiv:1810.12885
Telling Stories with Soundtracks: An Empirical Analysis of Music in Film — 2018 · Proceedings of the First Workshop on Storytelling
The price of debiasing automatic metrics in natural language evalaution — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Towards Inference-Oriented Reading Comprehension: ParallelQA — 2018 · Proceedings of the Workshop on Generalization in the Age of Deep Learning
What Makes Reading Comprehension Questions Easier? — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications — 2017 · arXiv:1711.05073
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset — 2016 · arXiv:1611.09268