Results 41 to 50 of about 1,745,508 (275)
Short Text Classification Using Contextual Analysis
IEEE Access, 2021 Micro blogging tools provide a real time service for the public to express opinions, to broadcast news and information and offer an opportunity to comment and respond to such output. Word usage in social media is continually evolving.
Sami Al Sulaimani, Andrew Starkey
doaj +1 more source
Adversarial Multi-task Learning for Text Classification
, 2017 Neural network models have shown their promising opportunities for multi-task learning, which focus on learning the shared layers to extract the common and task-invariant features.
Huang, Xuanjing +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT A second allogeneic (allo‐)hematopoietic stem cell transplantation (HSCT2) is a potential curative option for pediatric patients with acute lymphoblastic leukemia (ALL) following relapse after first allogeneic transplantation (HSCT1), but its efficacy is limited by high relapse rates and transplant‐related toxicity in highly pretreated ...
Ava Momm +10 more
wiley +1 more source
Hierarchical Interpretation of Neural Text Classification
Computational Linguistics, 2022 Recent years have witnessed increasing interest in developing interpretable models in Natural Language Processing (NLP). Most existing models aim at identifying input features such as words or phrases important for model predictions.
Hanqi Yan, Lin Gui, Yulan He
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Bag of Tricks for Efficient Text Classification
, 2016 This paper explores a simple and efficient baseline for text classification. Our experiments show that our fast text classifier fastText is often on par with deep learning classifiers in terms of accuracy, and many orders of magnitude faster for training
Bojanowski, Piotr +3 more
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FEBS Letters, EarlyView.Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho +3 more
wiley +1 more source
Network-Based Bag-of-Words Model for Text Classification
IEEE Access, 2020 The rapidly developing internet and other media have produced a tremendous amount of text data, making it a challenging and valuable task to find a more effective way to analyze text data by machine. Text representation is the first step for a machine to
Dongyang Yan +3 more
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Multilabel Text Classification with Label-Dependent Representation
Applied Sciences, 2023 Assigning predefined classes to natural language texts, based on their content, is a necessary component in many tasks in organizations. This task is carried out by classifying documents within a set of predefined categories using models and ...
Rodrigo Alfaro +2 more
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Time after time – circadian clocks through the lens of oscillator theory
FEBS Letters, EarlyView.Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo +2 more
wiley +1 more source
Character-level Convolutional Networks for Text Classification [PDF]
, 2015 This article offers an empirical exploration on the use of character-level convolutional networks (ConvNets) for text classification. We constructed several large-scale datasets to show that character-level convolutional networks could achieve state-of ...
LeCun, Yann, Zhang, Xiang, Zhao, Junbo
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