Results 51 to 60 of about 3,721,524 (172)
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
doaj +1 more source
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
doaj +1 more source
The DistilBERT Model: A Promising Approach to Improve Machine Reading Comprehension Models [PDF]
, 2023 Machine Reading Comprehension (MRC) is a challenging task in the field of Natural Language Processing (NLP), where a machine is required to read a given text passage and answer a set of questions based on it.
Abhinav Anand +15 more
core +1 more source
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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JOIV: International Journal on Informatics Visualization, 2022 Numerical reasoning in machine reading comprehension (MRC) has demonstrated significant performance improvements in the past few years. However, due to the process being restricted to specific languages, low-resource languages are not considered, and MRC
Gyeongmin Kim, Jaechoon Jo
doaj +1 more source
Korean TableQA: Structured data question answering based on span prediction style with S
ETRI Journal, 2020 The data in tables are accurate and rich in information, which facilitates the performance of information extraction and question answering (QA) tasks. TableQA, which is based on tables, solves problems by understanding the table structure and searching ...
Cheoneum Park +5 more
doaj +1 more source
FedQAS: Privacy-Aware Machine Reading Comprehension with Federated Learning
Applied Sciences, 2022 Machine reading comprehension (MRC) of text data is a challenging task in Natural Language Processing (NLP), with a lot of ongoing research fueled by the release of the Stanford Question Answering Dataset (SQuAD) and Conversational Question Answering ...
Addi Ait-Mlouk +3 more
doaj +1 more source
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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Loss of IGF‐1R impairs DNA‐PKcs recruitment to chromatin leading to defective end‐joining
Molecular Oncology, EarlyView.IGF‐1R promotes radioresistance by facilitating DNA‐PKcs recruitment to chromatin, enabling non‐homologous end‐joining (NHEJ) repair of double‐strand breaks. Inhibition or loss of IGF‐1R disrupts this recruitment to damage sites, driving compensatory reliance on microhomology‐mediated end‐joining (MMEJ) repair.
Matthew O. Ellis +3 more
wiley +1 more source
Advanced Science, EarlyView.NeuroSuite provides a modular hardware‐software platform integrating Neuroweb and NeuroMaps to enable long‐term, in situ electrophysiological interrogation of air–liquid interface organoid slices while preserving tissue architecture. Its components can be used together or independently to capture real‐time activity, spatial network dynamics, and ...
Belquis Haider +14 more
wiley +1 more source