Results 31 to 40 of about 712 (175)
Coreference Reasoning in Machine Reading Comprehension [PDF]
, 2021 Coreference resolution is essential for natural language understanding and has been long studied in NLP. In recent years, as the format of Question Answering (QA) became a standard for machine reading comprehension (MRC), there have been data collection ...
Moosavi, Nafise Sadat +11 more
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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
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
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
doaj +1 more source
Machine Reading Comprehension: Challenges and Approaches
, 2021 142 pagesMachine 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.
Sun, Kai
core +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
doaj +1 more source
Retrospective Reader for Machine Reading Comprehension
, 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
Zhang, Zhuosheng +2 more
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Early predictors of phonological and morphological awareness and the link with reading : evidence from children with different patterns of early deficit [PDF]
, 2015 This study examines the contribution of early phonological processing (PP) and language skills on later phonological awareness (PA) and morphological awareness (MA), as well as the links among PA, MA, and reading.
Carroll, Julia M. +3 more
core +1 more source
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
doaj +1 more source
Benchmarking Machine Reading Comprehension: A Psychological Perspective [PDF]
, 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
Aizawa, Akiko +2 more
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