Results 21 to 30 of about 3,637,202 (294)
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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Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension
Transactions of the Association for Computational Linguistics, 2020 Machine reading comprehension tasks require a machine reader to answer questions relevant to the given document. In this paper, we present the first free-form multiple-Choice Chinese machine reading Comprehension dataset ...
Sun, Kai +3 more
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Event Extraction Method Based on Conversational Machine Reading Comprehension Model [PDF]
Jisuanji kexue, 2023 Event extraction aims to extract structured information automatically from massive unstructured texts to help people quickly understand the latest developments of events.Traditional methods are mainly implemented by classification or sequence labeling ...
LIU Luping, ZHOU Xin, CHEN Junjun, He Xiaohai, QING Linbo, WANG Meiling
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RoR: Read-over-Read for Long Document Machine Reading Comprehension [PDF]
Findings of the Association for Computational Linguistics: EMNLP 2021, 2021 Accepted as findings of ...
Jing Zhao +6 more
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BioMRC: A Dataset for Biomedical Machine Reading Comprehension [PDF]
Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing, 2020 10 pages, 4 figures, 5 ...
Dimitris Pappas +3 more
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To get hold of the wrong end of the stick : reasons for poor idiom understanding in children with reading comprehension difficulties. [PDF]
, 2008 Purpose: The aim was to identify the source of idiom understanding difficulties in children with specific reading comprehension failure. Method: Two groups (Ns=15) of 9- to 10-year-olds participated. One group had age-appropriate word reading and reading
Cain, Kate, Towse, Andrea S.
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UDDIPOK: A reading comprehension based question answering dataset in Bangla language
Data in Brief, 2023 The popularity of reading comprehension (RC) is increasing day-to-day in Bangla Natural Language Processing (NLP) research area, both in machine learning and deep learning techniques.
Tanjim Taharat Aurpa +4 more
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Cross-Lingual Machine Reading Comprehension [PDF]
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019 10 pages, accepted as a conference paper at EMNLP-IJCNLP 2019 (long paper)
Yiming Cui 0001 +5 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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Towards Confident Machine Reading Comprehension
CoRR, 2021 There has been considerable progress on academic benchmarks for the Reading Comprehension (RC) task with State-of-the-Art models closing the gap with human performance on extractive question answering. Datasets such as SQuAD 2.0 & NQ have also introduced an auxiliary task requiring models to predict when a question has no answer in the text ...
Rishav Chakravarti, Avirup Sil
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