senadkurtisi/pytorch-NER
Named Entity Recognition in PyTorch on CoNLL2003 dataset
This project helps you automatically identify and classify key information within text, such as names of people, organizations, locations, and other important entities. You provide a body of text, and it outputs the same text with specific words or phrases tagged with their corresponding entity type. This tool is ideal for anyone working with large volumes of text who needs to quickly extract structured data or categorize important mentions.
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Use this if you need to automatically find and label specific types of information like names or places within written content.
Not ideal if you need to perform other natural language processing tasks beyond named entity recognition, or if your text contains very unusual or highly domain-specific entities not covered by common categories.
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Language
Python
License
MIT
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Last pushed
Nov 30, 2021
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