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Distilbert Base Uncased Squad2 With Ner With Neg With Repeat
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Distilbert Base Uncased Squad2 With Ner With Neg With Repeat
Developed by andi611
A question answering and named entity recognition model fine-tuned on the conll2003 dataset based on distilbert-base-uncased-squad2
Downloads 20
Release Time : 3/2/2022
Model Overview
This model combines question answering and named entity recognition capabilities, supporting scenarios with negation and repeated questions
Model Features
Combined QA and NER
Supports both question answering and named entity recognition tasks
Negation Handling
Capable of processing complex questions containing negation forms
Repeated Question Handling
Optimized for scenarios with repeated questions
Lightweight Model
Based on DistilBERT architecture, reducing computational resource requirements while maintaining high performance
Model Capabilities
Text-based Question Answering
Named Entity Recognition
Negation Understanding
Repeated Question Handling
Use Cases
Information Extraction
Document QA System
Extracting answers to specific questions from documents
Entity Information Extraction
Identifying and classifying named entities from text
Customer Service
Intelligent Customer Service
Handling negation and repeated questions in customer inquiries
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