Results 21 to 30 of about 569 (150)
Applied Sciences, 2022 Machine reading comprehension (MRC) is an important research topic in the field of Natural Language Processing (NLP). However, traditional MRC models often face challenges of information loss, lack of capability to retain long-distance dependence, and ...
Nawei Shi +2 more
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Machine Reading Comprehension Framework Based on Self-Training for Domain Adaptation
IEEE Access, 2021 Machine reading comprehension (MRC) is a type of question answering mechanism in which a computer reads documents and answers related questions. The accuracies of recent MRC systems surpass those of humans.
Hyeon-Gu Lee, Youngjin Jang, Harksoo Kim
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A Survey on Machine Reading Comprehension—Tasks, Evaluation Metrics and Benchmark Datasets
Applied Sciences, 2020 Machine Reading Comprehension (MRC) is a challenging Natural Language Processing (NLP) research field with wide real-world applications. The great progress of this field in recent years is mainly due to the emergence of large-scale datasets and deep ...
Changchang Zeng +4 more
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A Multiple-Choice Machine Reading Comprehension Model with Multi-Granularity Semantic Reasoning
Applied Sciences, 2021 To address the problem of poor semantic reasoning of models in multiple-choice Chinese machine reading comprehension (MRC), this paper proposes an MRC model incorporating multi-granularity semantic reasoning.
Yu Dai, Yufan Fu, Lei Yang
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RIPK3 dampens mitochondrial bioenergetics and lipid droplet dynamics in metabolic liver disease
Hepatology, EarlyView., 2022 RIPK3 dampens mitochondrial bioenergetics and lipid droplet dynamics in metabolic liver disease. Abstract Background and Aims Receptor‐interacting protein kinase 3 (RIPK3) mediates NAFLD progression, but its metabolic function is unclear. Here, we aimed to investigate the role of RIPK3 in modulating mitochondria function, coupled with lipid droplet (LD)
Marta B. Afonso +16 more
wiley +1 more source
Research Progress of Multi-Hop Machine Reading Comprehension [PDF]
Jisuanji gongcheng, 2021 Compared with common single-hop Machine Reading Comprehension(MRC), Multi-Hop MRC(MHMRC) needs multi-hop reasoning from given multiple documents or paragraphs to understand and answer complex questions.Though MHMRC is extremely challenging, it is closer ...
SU Ke, HUANG Ruiyang, ZHANG Jianpeng, YU Shiyuan, HU Nan
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c‐Rel–dependent Chk2 signaling regulates the DNA damage response limiting hepatocarcinogenesis
Hepatology, EarlyView., 2022 In response to genotoxic injury, c‐Rel upregulates ATM‐Chk2‐p53 pathway DNA damage proteins to limiting hepatocarcinogenesis. Abstract Background and Aims Hepatocellular carcinoma (HCC) is a leading cause of cancer‐related death. The NF‐κB transcription factor family subunit c‐Rel is typically protumorigenic; however, it has recently been reported as a
Jack Leslie +17 more
wiley +1 more source
Improving Machine Reading Comprehension with Multi-Task Learning and Self-Training
Mathematics, 2022 Machine Reading Comprehension (MRC) is an AI challenge that requires machines to determine the correct answer to a question based on a given passage, in which extractive MRC requires extracting an answer span to a question from a given passage, such as ...
Jianquan Ouyang, Mengen Fu
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IEEE Access, 2023 Machine reading comprehension (MRC) is a cutting-edge technology in natural language processing (NLP), which focuses on teaching machines to read and understand the meaning of texts based on the emergence of large-scale datasets and neural network models.
Tuan-Anh Phan +2 more
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IEEE Access, 2020 Although Vietnamese is the 17th most popular native-speaker language in the world, there are not many research studies on Vietnamese machine reading comprehension (MRC), the task of understanding a text and answering questions about it.
Kiet Van Nguyen +4 more
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