The text-to-dense representation techniques vary, evolving from character bi-grams to advanced subword vectorizers, combating OOV challenges like adversarial attacks and typos. As the strategies include subword-level tokenization and decomposing unknown words into n-grams for effective neural network training. Researchers at Google recently developed and unveiled a new resilient and efficient text vectorizer dubbed “RETVec,” which
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