NiceT: Named Entity Cleaning and Enhancement with Human-in-the-loop

Key Points

• Enhancement offers notable improvements in named entity recognition accuracy with human input, boosting overall data reliability.
• The project leverages data cleaning methods, incorporating algorithms that adapt based on human feedback to optimize performance.
• Approach involves a human-in-the-loop strategy to iteratively refine named entities, ensuring higher quality results compared to traditional methods.
• Potential applications may lead to improved data processing systems, suggesting further exploration in practical settings.