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Found 4 papers, 1 papers with code
Towards Bengali Word Embedding: Corpus Creation, Intrinsic and Extrinsic Evaluations
The semantic word analogy tasks achieved 44. 00% of accuracy while syntactic word analogy tasks obtained 36. 00%.
AraCovTexFinder: Leveraging the transformer-based language model for Arabic COVID-19 text identification
This gap hampers crucial COVID information retrieval and processing necessary for policymakers and health authorities.
CovTiNet: Covid text identification network using attention-based positional embedding feature fusion
Covid text identification (CTI) is a crucial research concern in natural language processing (NLP).
Authorship Classification in a Resource Constraint Language Using Convolutional Neural Networks
In total 36 classification models, including four classification models (CNN, LSTM, SVM, SGD) and three embedding techniques with 100, 200 and 250 embedding dimensions, are trained with optimized hyperparameters and tested on three benchmark datasets (BACC-18, BAAD16 and LD).
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