2402 01495 A Comparative Analysis of Conversational Large Language Models in Knowledge-Based Text Generation Instead, this study focuses on a specific machine learning task, namely text classification, exploring the effect of semantic augmentation on deep neural models to the classification performance. Our worked is focused on the feature level, applying semantic enrichment on the input […]
Read MoreThe 4 Biggest Open Problems in NLP Earlier machine learning techniques such as Naïve Bayes, HMM etc. were majorly used for NLP but by the end of 2010, neural networks transformed and enhanced NLP tasks by learning multilevel features. Major use of neural networks in NLP is observed for word embedding where words are represented […]
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