The NarrativeQA Reading Comprehension Challenge
Kočiský, Tomáš, Schwarz, Jonathan, Blunsom, Phil, Dyer, Chris, Hermann, Karl Moritz, Melis, Gábor, Grefenstette, Edward·2018·Transactions of the Association for Computational Linguistics
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- ManyModalQA: Modality Disambiguation and QA over Diverse InputsDarryl Hannan, Jain, Akshay, Mohit Bansal · 2020 · arXiv (Cornell University)
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- Unsupervised Context-Linking Retriever for Question Answering on Long Narrative BooksMohammad A. Ateeq, Sabrina Binti Tiun, Hamed Abdelhaq, Wandeep Kaur · 2025 · IEEE Access
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- GANDALF: a General Character Name Description Dataset for Long FictionFredrik Carlsson, Magnus Sahlgren, Fredrik Olsson, Amaru Cuba Gyllensten · 2021 · Workshop on Machine Reading for Question Answering (MRQA)
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- ScholarlyRead: A New Dataset for Scientific Article Reading Comprehension.Tanik Saikh, Asif Ekbal, Pushpak Bhattacharyya · 2020 · Language Resources and Evaluation
- CASQAD – A New Dataset for Context-Aware Spatial Question AnsweringJewgeni Rose, Jens Lehmann · 2020 · Lecture notes in computer science
- Reference-based Weak Supervision for Answer Sentence Selection using Web DataVivek Krishnamurthy, Thuy Vu, Alessandro Moschitti · 2021 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
- CSFQGD: Chinese Sentence Fill-in-the-blank Question Generation Dataset for ExaminationTianlin Zhang, Zhenyu Cui, Jiaxu Leng, Ying Liu · 2021 · International Conference on Computer Supported Cooperative Work in Design (CSCWD)
- rAVA: A Robot for Virtual Support of LearningElias Silva de Oliveira, Marcos A. Spalenza, Juliana Pinheiro Campos Pirovani · 2021 · Advances in intelligent systems and computing
- Topic Knowledge Acquisition and Utilization for Machine Reading Comprehension in Social Media DomainZhixing Tian, Yuanzhe Zhang, Kang Liu, Jun Zhao · 2021 · Lecture notes in computer science
- A text-based multi-span network for reading comprehensionDeguang Chen, Ziping Ma, Wei Lin, Yanbin Zhu, Jinlin Ma, Yuanwen Gong, Jie Zhou · 2021 · Journal of Intelligent & Fuzzy Systems
- A Review of Machine Reading Comprehension明 殷 · 2020 · Computer Science and Application
- Generating Questions for Abstractive Answers with a Multi-Channel Fusion Encoder-Decoder ModelJiazuo Qiu, Deyi Xiong · 2022 · International Conference on Asian Language Processing
- A Customized Web Spider for Why-QA Pairs Corpus PreparationManvi Breja · 2023 · Journal of Information Systems and Telecommunication (JIST)
- M-sense: Modeling Narrative Structure in Short Personal Narratives Using Protagonist’s Mental RepresentationsPrashanth Vijayaraghavan, Deb Kumar Roy · 2023 · Proceedings of the AAAI Conference on Artificial Intelligence
- Movie Plot Analysis via Turning Point IdentificationPinelopi Papalampidi, Frank Keller, Mirella Lapata · 2019 · arXiv (Cornell University)
- BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on NovelsYimin Jing, Deyi Xiong, Zhen Yan · 2019 · arXiv (Cornell University)
- A Study of the Tasks and Models in Machine Reading ComprehensionChao Wang · 2020 · arXiv (Cornell University)
- Knowledge Efficient Deep Learning for Natural Language ProcessingHai Wang · 2020 · arXiv (Cornell University)
- Understanding in Artificial IntelligenceStefan Maetschke, Iraola, David Martinez, Pieter Barnard, Elaheh ShafieiBavani, Peter Zhong, Ying Xu, Antonio Jimeno Yepes · 2021 · arXiv (Cornell University)
- Towards Solving Multimodal ComprehensionSahu, Pritish, Karan Sikka, Ajay Divakaran · 2021 · arXiv (Cornell University)
- Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive StudyXiangyang Mou, Chenghao Yang, Mo Yu, Bingsheng Yao, Xiaoxiao Guo, Saloni Potdar, Hui Su · 2021 · arXiv (Cornell University)
- Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Tutorials2021
- Extraction of Narrative Structure from TV SeriesAman Berhe · 2021 · theses.fr (ABES)
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- Gated Delta Networks: Improving Mamba2 with Delta RuleYang, Songlin, Kautz, Jan, Hatamizadeh, Ali · 2024 · arXiv
- SYNC: A Synthetic Long-Context Understanding Benchmark for Controlled Comparisons of Model CapabilitiesCao, Shuyang, Zou, Kaijian, Wang, Lu · 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
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- Weighted Global Normalization for Multiple Choice Reading Comprehension over Long DocumentsAditi Chaudhary, Bhargavi Paranjape, Michiel de Jong · 2018 · arXiv (Cornell University)
- Active Reading Comprehension: A Dataset for Learning the Question-Answer Relationship StrategyDiana Galván-Sosa · 2019 · Annual Meeting of the Association for Computational Linguistics: Student Research Workshop (ACL SRW)
- Neural architectures for natural language understandingYi Tay · 2019 · DR-NTU (Nanyang Technological University)
- Recurrent Chunking Mechanisms for Conversational Machine Reading ComprehensionHongyu Gong, Yelong Shen, Dian Yu, Jianshu Chen, Dong Yu · 2019
- R4C: A Benchmark for Evaluating RC Systems to Get the Right Answer for the Right ReasonNaoya Inoue, Pontus Stenetorp, Kentaro Inui · 2019 · arXiv (Cornell University)
- Relation/Entity-Centric Reading ComprehensionTakeshi Onishi · 2020 · arXiv (Cornell University)
- ReadOnce Transformers: Reusable Representations of Text for TransformersShih-Ting Lin, Ashish Sabharwal, Tushar Khot · 2020 · arXiv (Cornell University)
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- Audio-Oriented Multimodal Machine Comprehension: Task, Dataset and ModelHuang, Zhiqi, Fenglin Liu, Xian Wu, Shen Ge, Helin Wang, Wei Fan, Yuexian Zou · 2021 · arXiv (Cornell University)
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- Automatically Solving Elementary Science Questions: A SurveySwati Nagdev, Mansi Anup Radke, Maya Ramanath · 2022 · IETE Technical Review
- Relying on discourse analysis to answer complex questions by neural machine reading comprehensionBoris A. Galitsky · 2022 · Elsevier eBooks
- A Semi-automatic Data Generator for Query AnsweringFabrizio Angiulli, Alessandra Del Prete, Fabio Fassetti, Simona Nisticò · 2022 · Lecture notes in computer science