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Bert Mini Finetune Question Detection
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Bert Mini Finetune Question Detection
Developed by shahrukhx01
A query classification model fine-tuned on BERT-mini to distinguish between keyword queries and question/statement queries
Downloads 6,890
Release Time : 3/2/2022
Model Overview
This model is specifically designed for the Haystack framework, enabling the classification of keyword queries versus question/statement queries to optimize computational resource allocation.
Model Features
Efficient Classification
Accurately distinguishes between keyword queries and question/statement queries with over 99% accuracy
Resource Optimization
Optimizes computational resource allocation by routing only questions to the reader branch
Chinese Language Support
Specifically optimized for Chinese query statements
Model Capabilities
Text Classification
Query Statement Analysis
Keyword Recognition
Use Cases
Search Engine Optimization
Query Routing
Automatically routes different types of queries in neural search systems
Improves search efficiency and reduces unnecessary computational resource consumption
Intelligent Customer Service
Question Identification
Identifies whether user input is a keyword or a complete question
Optimizes customer service system response strategies
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