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https://deepai.org/publication/assessing-the-benchmarking-capacity-of-machine-reading-comprehension-datasets Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets | DeepAI Nov 21, 2019 - 11/21/19 - Existing analysis work in machine reading comprehension (MRC) is largely concerned with evaluating the capabilities of systems. Ho... machine reading comprehensionassessingbenchmarkingcapacitydatasets https://aclanthology.org/2020.coling-main.238/ Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with... Jiaqi Li, Ming Liu, Min-Yen Kan, Zihao Zheng, Zekun Wang, Wenqiang Lei, Ting Liu, Bing Qin. Proceedings of the 28th International Conference on Computational... machine reading comprehensionchallengemultipartydialogues https://aclanthology.org/D19-1600/ A Span-Extraction Dataset for Chinese Machine Reading Comprehension - ACL Anthology Yiming Cui, Ting Liu, Wanxiang Che, Li Xiao, Zhipeng Chen, Wentao Ma, Shijin Wang, Guoping Hu. Proceedings of the 2019 Conference on Empirical Methods in... machine reading comprehensionfor chinesespanextractiondataset https://aclanthology.org/2023.paclic-1.3/ Machine Reading Comprehension for Vietnamese Customer Reviews: Task, Corpus and Baseline Models -... Tinh Pham Phuc Do, Ngoc Dinh Duy Cao, Nhan Thanh Nguyen, Tin Van Huynh, Kiet Van Nguyen. Proceedings of the 37th Pacific Asia Conference on Language,... machine reading comprehensioncustomer reviews https://aclanthology.org/W18-2605/ DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications - ACL... Wei He, Kai Liu, Jing Liu, Yajuan Lyu, Shiqi Zhao, Xinyan Xiao, Yuan Liu, Yizhong Wang, Hua Wu, Qiaoqiao She, Xuan Liu, Tian Wu, Haifeng Wang. Proceedings of... machine reading comprehensionreal world applications https://aclanthology.org/2026.loreslm-1.16/ QARI: Neural Architecture for Urdu Extractive Machine Reading Comprehension - ACL Anthology Samreen Kazi, Shakeel Ahmed Khoja. Proceedings of the Second Workshop on Language Models for Low-Resource Languages (LoResLM 2026). 2026. machine reading comprehensionqarineuralarchitectureurdu https://aclanthology.org/2020.emnlp-main.247/ Scene Restoring for Narrative Machine Reading Comprehension - ACL Anthology Zhixing Tian, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yantao Jia, Zhicheng Sheng. Proceedings of the 2020 Conference on Empirical Methods in Natural Language... machine reading comprehensionscenerestoringnarrativeacl https://www.preprints.org/manuscript/201910.0070 Datasets for Machine Reading Comprehension: A Literature Review[v1] | Preprints.org Machine reading comprehension aims to teach machines to understand a text like a human, and is a new challenging direction in Artificial Intelligence. Datasets... machine reading comprehensionliterature reviewdatasets https://aclanthology.org/2023.findings-emnlp.569/ Guiding LLM to Fool Itself: Automatically Manipulating Machine Reading Comprehension Shortcut... Mosh Levy, Shauli Ravfogel, Yoav Goldberg. Findings of the Association for Computational Linguistics: EMNLP 2023. 2023. machine reading comprehensionguidingllmfool https://www.alibabacloud.com/help/en/pai/user-guide/machine-reading-comprehension-training Configure the Machine reading comprehension training component - Platform For AI - Alibaba Cloud Train MRC models with PAI's Machine reading comprehension training component, using detailed parameter configurations and a step-by-step pipeline example. machine reading comprehensiontraining component https://deepai.org/publication/fedqas-privacy-aware-machine-reading-comprehension-with-federated-learning FedQAS: Privacy-aware machine reading comprehension with federated learning | DeepAI Feb 9, 2022 - 02/09/22 - Machine reading comprehension (MRC) of text data is one important task in Natural Language Understanding. It is a complex NLP prob... machine reading comprehensionfederated learningprivacyawaredeepai https://aclanthology.org/2021.emnlp-main.295/ Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations -... Yiming Ju, Yuanzhe Zhang, Zhixing Tian, Kang Liu, Xiaohuan Cao, Wenting Zhao, Jinlong Li, Jun Zhao. Proceedings of the 2021 Conference on Empirical Methods in... machine reading comprehensionmultiple choiceenhancingpunishingillogical https://aclanthology.org/D19-1602/ Machine Reading Comprehension Using Structural Knowledge Graph-aware Network - ACL Anthology Delai Qiu, Yuanzhe Zhang, Xinwei Feng, Xiangwen Liao, Wenbin Jiang, Yajuan Lyu, Kang Liu, Jun Zhao. Proceedings of the 2019 Conference on Empirical Methods in... machine reading comprehensionknowledge graphusingstructural