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Predicting children’s literacy from task-based fMRI: Neural heterogeneity and task-dependent performance

Pamplona GSP, Stettler S, Vieira BH, Di Pietro SV, Frei N, Lutz CG, Karipidis II, Brem S.   +7 more
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Machine Reading Comprehension with Rich Knowledge

International Journal of Pattern Recognition and Artificial Intelligence, 2022
Machine reading comprehension (MRC) is a crucial and challenging task in natural language processing (NLP). With the development of deep learning, language models have achieved excellent results. However, these models still cannot answer complex questions.
Jun He 0009, Li Peng, Yinghui Zhang 0004, Bo Sun 0006, Rong Xiao 0002, Yongkang Xiao   +5 more
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Machine Reading Comprehension

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
In this paper, we study the machine reading comprehension of temporal order in text. Given a document of instruction sequences, a model aims to find out the most coherent sequences of activities matching the document among all answer candidates. To tackle the task, we proposeOrdMatch model, which is able to match each activity in a sequence to the ...
Ao Liu 0008, Lizhen Qu, Junyu Lu, Chenbin Zhang, Zenglin Xu   +4 more
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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 ...
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Learning Parameter Analysis for Machine Reading Comprehension

2021
Machine reading comprehension is a classic issue artificial intelligence. It is a key technology in the next generation search engine and intelligent interactive service. The traditional methods usually work in a small scale of data sets. The traditional system cannot meet the emerging demand.
Xuekui Li, Lei Chen 0071, Yi Shi, Ping Cui   +3 more
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A New Fusion Method on Machine Reading Comprehension

Proceedings of the 2020 2nd International Conference on Big Data Engineering, 2020
Machine reading comprehension, as one of the core tasks of natural language processing, has been a research focus in this field. This paper is mainly aimed at Dureader, a Chinese-oriented multi-document reading comprehension task dataset, and an end-to-end machine reading comprehension model based on neural network is proposed.
Wenfang Tang, Hong Jiang, Kejia Xu
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Human Behavior Inspired Machine Reading Comprehension

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
Machine Reading Comprehension (MRC) is one of the most challenging tasks in both NLP and IR researches. Recently, a number of deep neural models have been successfully adopted to some simplified MRC task settings, whose performances were close to or even better than human beings. However, these models still have large performance gaps with human beings
Yukun Zheng, Jiaxin Mao, Yiqun Liu 0001, Zixin Ye, Min Zhang 0006, Shaoping Ma   +5 more
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A Survey of Machine Reading Comprehension Methods

2022 International Conference on Asian Language Processing (IALP), 2022
Xiaobo Xu, Turdi Tohti, Askar Hamdulla
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