Techsperiments

Category: BERT

  • Named Entity Recognition (NER) with Python, OpenSearch, and BERT

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    zener
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    Named Entity Recognition (NER) is a core task in Natural Language Processing (NLP), aiming to identify and classify entities in text into predefined categories such as names of persons, organizations, locations, dates, and more. In this blog, we’ll explore how to build an end-to-end NER pipeline using Python, BERT, and OpenSearch. We will: 1. What…

  • Zero Shot Classification Using BERT

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    by

    zener
    in , , ,

    1. Introduction In the realm of natural language processing (NLP), classification tasks typically rely on supervised learning, where models are trained on labeled datasets. However, zero shot classification presents a paradigm shift, allowing models to classify data into unseen categories without explicit training on those categories. This guide delves into zero shot classification using BERT…