guillaumegenthial/sequence_tagging

Named Entity Recognition (LSTM + CRF) - Tensorflow

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/ 100
Established

This tool helps you automatically identify and tag specific types of information in text, such as names of people, organizations, or locations. You provide sentences as input, and it outputs each word with a corresponding tag indicating if it's part of a named entity. It's designed for data scientists, linguists, or anyone who needs to extract structured information from unstructured text.

1,953 stars. No commits in the last 6 months.

Use this if you need to build a high-performance system for automatically tagging entities in English text, similar to how human annotators might identify names or places.

Not ideal if you need a solution for languages other than English or if you prefer a simpler, more modern TensorFlow implementation with `tf.data` and `tf.estimator`.

named-entity-recognition information-extraction text-analysis natural-language-processing data-labeling
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

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Stars

1,953

Forks

696

Language

Python

License

Apache-2.0

Last pushed

Oct 16, 2020

Commits (30d)

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