scofield7419/sequence-labeling-BiLSTM-CRF
The BiLSTM-CRF model implementation in Tensorflow, for sequence labeling tasks.
This project helps you automatically label specific parts of text, like identifying names of organizations or locations in a sentence. You input raw text or pre-formatted text files, and it outputs the same text with each word or character tagged with its corresponding label. This is ideal for anyone working with large volumes of text who needs to extract or categorize specific information.
703 stars. No commits in the last 6 months.
Use this if you need to build a system that automatically identifies and labels entities or grammatical structures within text data for tasks like Named Entity Recognition, Part-of-Speech tagging, or Chinese Word Segmentation.
Not ideal if you're looking for a simple tool to manually annotate a small dataset or if you don't have some programming experience to configure and run the model.
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GPL-3.0
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Nov 21, 2022
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