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Japanese Roberta Question Answering

Developed by ybelkada
A Japanese QA model fine-tuned on the JaQuAD dataset, suitable for extractive QA tasks
Downloads 298
Release Time : 4/8/2022

Model Overview

This model is a QA system fine-tuned based on the Japanese RoBERTa base version, specifically designed for extractive QA tasks in Japanese text, capable of accurately extracting answers from given contexts.

Model Features

Japanese-specific
A QA model optimized specifically for Japanese text
Extractive QA
Capable of precisely extracting answers from given contexts
Based on RoBERTa architecture
Utilizes the powerful RoBERTa-base pre-trained model as its foundation

Model Capabilities

Japanese text understanding
Extractive QA
Context analysis

Use Cases

Education
Japanese learning aid
Helps students quickly find answers from Japanese learning materials
Improves learning efficiency
Information retrieval
Document QA system
Automatically extracts answers from Japanese documents
Reduces manual search time
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