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Codebert Base Finetuned Stackoverflow Ner
This model is a fine-tuned named entity recognition model based on the basic version of Codebert, suitable for identifying entities in programming-related texts.
Downloads 76
Release Time : 3/2/2022
Model Overview
This model is mainly used to identify named entities in programming-related texts, such as programming languages, platforms, data structures, etc.
Model Features
High Accuracy
Achieved an accuracy of 94.31% in evaluations.
Programming Domain Optimization
Specifically optimized for programming-related texts, capable of recognizing technical terms and programming concepts.
Based on Codebert
Leverages the powerful pre-training capabilities of Codebert, excelling in programming language understanding.
Model Capabilities
Recognize programming languages
Recognize platform names
Recognize data structures
Recognize technical terms
Use Cases
Code Comment Analysis
Automatic Code Documentation Generation
Extracts key entity information from code comments to automatically generate documentation.
Improves documentation generation efficiency and accuracy
Technical Forum Analysis
Technical Issue Classification
Identifies the technology stack and problem types mentioned in user questions.
Facilitates problem categorization and expert matching
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