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How can Businesses Improve the Accuracy of Multilingual Product Classifiers? This AI Paper Proposes LAMM: An Active Learning Approach Aimed at Bolstering the Classification Accuracy in Languages with Limited Training Data
MarkTechPost www.marktechpost.com
By capitalizing on shared representations common to different languages, cross-lingual learning is known to enhance the accuracy of NLP models on Low-Resource Languages (LRLs) that have limited data for model training. However, there is a significant disparity in the accuracy of high-resource languages (HRLs) and low-resource languages (LRLs), and this connects to the relative scarcity […]
accuracy active learning ai paper ai shorts applications artificial intelligence businesses classification classifiers cross-lingual data languages low machine learning multilingual nlp nlp models paper product tech news technology training training data