For non-contextual embeddings, we use five machine learning algorithms namely Gaussian NB, Adaboost Classifier, Multi-layer Perceptron classifier, Random Forest Classifier, and Decision Tree Classifier for developing ten Hindi NER systems, each, once with Fast Text and once with Gensim Word2Vec word...
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For non-contextual embeddings, we use five machine learning algorithms namely Gaussian NB, Adaboost Classifier, Multi-layer Perceptron classifier, Random Forest Classifier, and Decision Tree Classifier for developing ten Hindi NER systems, each, once with Fast Text and once with Gensim Word2Vec word...