Power Inspection Text NER: Integrating BERT with Matrix LSTM
Peixin Xu, Jia Shen, Kang Zhao, Tianjun Wang
cn (code pays fourni par la source)
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Peixin Xu, Jia Shen, Kang Zhao, Tianjun Wang
cn (code pays fourni par la source)
Michiharu Yamashita, Jia Shen, Thanh Tran, Hamoon Ekhtiari et autres
In online job marketplaces, it is important to establish a well-defined job title taxonomy for various downstream tasks (e.g., job recommendation, users’ career analysis, and turnover prediction). Job Title Normalization (JTN) is such a cleaning step to classify user-created non-standard job titles …
us, ca (code pays fourni par la source)
The issue of missing data poses a great challenge on boosting performance and application of deep learning models in the {\em Knowledge Tracing} (KT) problem. However, there has been the lack of understanding on the issue in the literature. %are not sufficient …
Michiharu Yamashita, Jia Shen, Thanh Tran, Hamoon Ekhtiari et autres
In online job marketplaces, it is important to establish a well-defined job title taxonomy for various downstream tasks (e.g., job recommendation, users' career analysis, and turnover prediction). Job Title Normalization (JTN) is such a cleaning step to classify user-created non-standard job titles …
Jia Shen, Pantong Yao, Shaoyu Ge, Qiaojie Xiong
Auditory-cued goal-oriented behaviors requires the participation of cortical and subcortical brain areas, but how neural circuits associate sensory-based decisions with goal locations through learning remains poorly understood. The hippocampus is critical for spatial coding, suggesting its possible involvement in transforming sensory inputs …
us (code pays fourni par la source)
Jia Shen, Michiharu Yamashita, Ethan Prihar, Neil T. Heffernan et autres
Since the introduction of the original BERT (i.e., BASE BERT), researchers have developed various customized BERT models with improved performance for specific domains and tasks by exploiting the benefits of transfer learning. Due to the nature of mathematical texts, which often use …
us (code pays fourni par la source)
Jia Shen, Michiharu Yamashita, Ethan Prihar, Neil T. Heffernan et autres
Since the introduction of the original BERT (i.e., BASE BERT), researchers\nhave developed various customized BERT models with improved performance for\nspecific domains and tasks by exploiting the benefits of transfer learning. Due\nto the nature of mathematical texts, which often use domain specific vocabulary\nalong …
Jia Shen, Michiharu Yamashita, Ethan Prihar, Neil T. Heffernan et autres
Educational content labeled with proper knowledge components (KCs) are particularly useful to teachers or content organizers. However, manually labeling educational content is labor intensive and error-prone. To address this challenge, prior research proposed machine learning based solutions to auto-label educational content with …
Jia Shen, Michiharu Yamashita, Ethan Prihar, Neil T. Heffernan et autres
us (code pays fourni par la source)
Pantong Yao, Jia Shen, Liang Chen, Shaoyu Ge et autres
Selective attention modulates sensory cortical activity. It remains unclear how auditory cortical activity represents stimuli that differ behaviorally. We designed a cross-modality task in which mice made decisions to obtain rewards based on attended visual or auditory stimuli. We recorded auditory cortical …
us (code pays fourni par la source)
Jia Wang, Jia Shen, Gregory W. Kirschen, Yan Gu et autres
The process of circuit integration of newly-generated dentate granule cells of the hippocampus has been presumed to be a dynamic process. In fact, little is known regarding the initial development of newly generated neurons prior to circuit integration and the significance of …
cn, us, ch (code pays fourni par la source)
Jia Shen, Depeng Wang, Xinxing Wang, Shashank Gupta et autres
us (code pays fourni par la source)
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