Meet GLiNER: A Generalist AI Model for Named Entity Recognition (NER) Using a Bidirectional Transformer

A key element of Natural Language Processing (NLP) applications is Named Entity Recognition (NER), which recognizes and classifies named entities, such as names of people, places, dates, and organizations within the text. While specified entity types limit the effectiveness of traditional NER models, they also restrict their adaptability to new or diverse datasets.  On the […]

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