R

Roberta Qa Japanese

Developed by tsmatz
Japanese extractive QA model fine-tuned from rinna/japanese-roberta-base, trained on the JaQuAD dataset
Downloads 104
Release Time : 12/11/2022

Model Overview

This model is an extractive question answering system designed for Japanese, capable of extracting answers from given texts.

Model Features

Japanese-Specific
QA model optimized specifically for Japanese text
Based on RoBERTa Architecture
Fine-tuned using the powerful RoBERTa-base pre-trained model
Extractive QA
Capable of directly extracting answer segments from given contexts

Model Capabilities

Japanese Text Understanding
Extractive Question Answering
Context Analysis

Use Cases

Information Retrieval
Factual Question Answering
Finding answers to specific factual questions from texts
As shown in the example, it can accurately identify that the country that defeated Japan was Croatia
Historical Information Query
Extracting specific information from historical texts
As shown in the example, it can accurately identify Japan's 8th-century capital and the height of a Buddha statue
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase