Archives for BertLang website by Google
NLP Models have shown tremendous advancements in syntactic, semantic and linguistic knowledge for downstream tasks. However, that raises an interesting research question — is it possible for them to go beyond pattern recognition and apply common sense for word-sense disambiguation? Thus, to identify if BERT, a large pre-trained NLP model developed by Google, can solve…
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With the advent of transformer-based machine translation models, researchers have been successful in implementing state-of-the-art performance in natural language processing (NLP). In 2018, Google open-sourced its groundbreaking state-of-the-art technique for NLP pre-training called Bidirectional Encoder Representations from Transformers, or BERT. With the help of this model, one can train their state-of-the-art NLP model in a…
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