Results 31 to 40 of about 569 (150)
TT-Net: Topic Transfer-Based Neural Network for Conversational Reading Comprehension
IEEE Access, 2019 Conversational machine reading comprehension (MRC) is a new question answering task, which is more challenging compared to traditional single-turn MRC since it requires a better understanding of conversation history. In this paper, a novel neural network
Gu Yingjie, Gui Xiaolin, Li Defu
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Neural Machine Reading Comprehension: Methods and Trends
Applied Sciences, 2019 Machine reading comprehension (MRC), which requires a machine to answer questions based on a given context, has attracted increasing attention with the incorporation of various deep-learning techniques over the past few years.
Shanshan Liu +4 more
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Multigranularity Syntax Guidance with Graph Structure for Machine Reading Comprehension
Applied Sciences, 2022 In recent years, pre-trained language models, represented by the bidirectional encoder representations from transformers (BERT) model, have achieved remarkable success in machine reading comprehension (MRC).
Chuanyun Xu +4 more
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Electronic Medical Record Entity Recognition via Machine Reading Comprehension and Biaffine
Discrete Dynamics in Nature and Society, 2021 The entity recognition of Chinese electronic medical record is of great significance to medical decision-making. The main process of entity recognition is sequence tagging, which has problems such as nested entity and boundary prediction.
Jun Cao +6 more
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Judicial nested named entity recognition method with MRC framework
International Journal of Cognitive Computing in Engineering, 2023 Judicial named entity recognition (JNER) is a basic task of judicial intelligence and judicial service informatization. At present, the research of JNER has attracted extensive attention.
Hu Zhang +4 more
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Applied Sciences, 2022 Answering different multi-choice machine reading comprehension (MRC) questions generally requires different information due to the abundant diversity of the questions, options and passages.
Ziwei Bai +4 more
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Improved Machine Reading Comprehension Using Data Validation for Weakly Labeled Data
IEEE Access, 2020 Machine reading comprehension (MRC) is a natural language processing task wherein a given question is answered according to a holistic understanding of a given context.
Yunyeong Yang, Sangwoo Kang, Jungyun Seo
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IEEE Access, 2023 Extracting entities and their relationships from financial documents is crucial for analyzing and predicting future market trends. However, the current state of the art in this field faces two major challenges: multiple sentences between related entities
Yixuan Chai +3 more
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R-Trans: RNN Transformer Network for Chinese Machine Reading Comprehension
IEEE Access, 2019 Machine reading comprehension (MRC) has gained increasingly wide attention over the past few years. A variety of benchmark datasets have been released, which triggers the development of quite a few MRC approaches based on deep learning techniques ...
Shanshan Liu +3 more
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IEEE Access, 2023 Biomedical machine reading comprehension (bio-MRC), a crucial task in natural language processing, is a vital application of a computer-assisted clinical decision support system.
Maria Mahbub +5 more
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