zuxinqi/nlp_tasks
nlp基础任务
This is a collection of NLP algorithms, covering text classification, sequence labeling, relation extraction, text matching, and text similarity. It provides various models for common NLP tasks, taking raw text as input and outputting classifications, labeled sequences, or extracted relationships. Data scientists and machine learning engineers working with text will find this useful for implementing or experimenting with different NLP approaches.
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Use this if you are a data scientist or machine learning engineer looking for a pre-organized collection of implementations for fundamental NLP tasks like sentiment analysis, named entity recognition, or information extraction.
Not ideal if you are an end-user without programming knowledge, as this project requires familiarity with Python and machine learning frameworks.
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Python
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Last pushed
May 26, 2021
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