Results 11 to 20 of about 8,093 (292)
English Machine Reading Comprehension Datasets: A Survey [PDF]
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021 This paper surveys 60 English Machine Reading Comprehension datasets, with a view to providing a convenient resource for other researchers interested in this problem. We categorize the datasets according to their question and answer form and compare them across various dimensions including size, vocabulary, data source, method of creation, human ...
Dzendzik, Daria +2 more
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Retrospective Reader for Machine Reading Comprehension
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 Machine reading comprehension (MRC) is an AI challenge that requires machines to determine the correct answers to questions based on a given passage. MRC systems must not only answer questions when necessary but also tactfully abstain from answering when no answer is available according to the given passage.
Zhuosheng Zhang 0001 +2 more
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Mixed inference machine reading comprehension method based on symbolic logic
Intelligent Systems with ApplicationsWith the rapid development of machine learning, challenging question and answer datasets have also emerged, and the machine reading comprehension technology has emerged.
Duanduan Liu
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Machine Reading Comprehension: Challenges and Approaches
, 2021 142 pages ; Machine reading comprehension (MRC) tasks have attracted substantial attention from both academia and industry. These tasks require a machine reader to answer questions relevant to a given document provided as input. In this dissertation, we mainly focus on non-extractive MRC, in which a significant percentage of candidate answers are not ...
Sun, Kai
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VisualMRC: Machine Reading Comprehension on Document Images
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 Recent studies on machine reading comprehension have focused on text-level understanding but have not yet reached the level of human understanding of the visual layout and content of real-world documents. In this study, we introduce a new visual machine reading comprehension dataset, named VisualMRC, wherein given a question and a document image, a ...
Ryota Tanaka +2 more
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A Survey of Machine Narrative Reading Comprehension Assessments
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022 As the body of research on machine narrative comprehension grows, there is a critical need for consideration of performance assessment strategies as well as the depth and scope of different benchmark tasks. Based on narrative theories, reading comprehension theories, as well as existing machine narrative reading comprehension tasks and datasets, we ...
Yisi Sang +4 more
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Benchmarking Machine Reading Comprehension: A Psychological Perspective [PDF]
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021 Machine reading comprehension (MRC) has received considerable attention as a benchmark for natural language understanding. However, the conventional task design of MRC lacks explainability beyond the model interpretation, i.e., reading comprehension by a model cannot be explained in human terms.
Saku Sugawara +2 more
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Machine Reading Comprehension Model Based on MacBERT and Adversarial Training [PDF]
Jisuanji gongchengMachine reading comprehension is designed to allow machines to understand natural language texts, resembling humans, and perform question-answering tasks accordingly.
ZHOU Zhaochen, FANG Qingmao, WU Xiaohong, HU Ping, HE Xiaohai
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Robust Domain Adaptation for Machine Reading Comprehension
Proceedings of the AAAI Conference on Artificial Intelligence, 2023 Most domain adaptation methods for machine reading comprehension (MRC) use a pre-trained question-answer (QA) construction model to generate pseudo QA pairs for MRC transfer. Such a process will inevitably introduce mismatched pairs (i.e., Noisy Correspondence) due to i) the unavailable QA pairs in target documents, and ii) the domain shift during ...
Liang Jiang +4 more
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Enhancing Machine Reading Comprehension With Position Information [PDF]
IEEE Access, 2019 When people do the reading comprehension, they often try to find the words from the passages which are similar to the question words first. Then people deduce the answer based on the context around these similar words. Therefore, the position information
Yajing Xu +6 more
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