This study investigates the effectiveness of Knowledge Named Entity Recognition in Online Judges (OJs). OJs are lacking in the classification of topics and limited to the IDs only. Therefore a lot of time is consumed in finding programming problems more specifically in knowledge entities.A Bidirectional Long Short-Term Memory (BiLSTM) with Conditional ...
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A Chinese Named Entity Recognition Dataset for Intangible Cultural Heritage. [PDF]
Long S, Li W.
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Deep learning approach for crop-weed segmentation in peanut cultivation using PSPEdgeWeedNet. [PDF]
Pai DG, Balachandra M, Kamath R.
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MedZeroSeg: Zero-shot medical image segmentation via vision foundation models. [PDF]
Zhang R, Huang M, Li R.
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A Neural Conditional Random Field Model Using Deep Features and Learnable Functions for End-to-End MRI Prostate Zonal Segmentation. [PDF]
Hung ALY +7 more
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Improving News Traders using CRF: Using Conditional Random Fields to reduce Feature Space
Since financial markets react to news very quickly it is necessary to react even quicker in order to make money. Normal text data has very high dimensionality and reducing the number of features needed to classify a document reduces the time needed to do so. This thesis looks at a way to reduce the feature space by use of Conditional Random Fields.
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Hybrid artificial intelligence architectures for automatic text correction in the Kazakh language. [PDF]
Baitenova L +4 more
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Intent classification for university administrative services using a bidirectional recurrent neural network modified by a developed Kepler optimization algorithm. [PDF]
Yang Z, Lu M, Huang S.
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ERLD-HC: Entropy-Regularized Latent Diffusion for Harmony-Constrained Symbolic Music Generation. [PDF]
Li Y.
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Effectiveness and optimization of bidirectional long short-term memory (BiLSTM) based fast detection of deep fake face videos for real-time applications. [PDF]
Wang H.
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