KoBERT and KoBERT-KorQuAD

KoBERT

Established

KoBERT-KorQuAD

Emerging

Maintenance 2/25

Adoption 10/25

Maturity 16/25

Community 25/25

Maintenance 0/25

Adoption 8/25

Maturity 16/25

Community 20/25

Stars: 1,407

Forks: 380

Downloads: —

Commits (30d): 0

Language: Python

License: Apache-2.0

Stars: 65

Forks: 24

Downloads: —

Commits (30d): 0

Language: Python

License: Apache-2.0

Stale 6m No Package No Dependents

About KoBERT

SKTBrain/KoBERT

Korean BERT pre-trained cased (KoBERT)

KoBERT is a tool for anyone working with the Korean language who needs to understand meaning or categorize text. It takes raw Korean text as input and helps identify sentiment, recognize named entities like organizations or product names, or compare sentence meanings. This is ideal for natural language processing specialists, data scientists, or researchers focused on Korean text analysis.

Korean-language-processing text-analytics sentiment-analysis named-entity-recognition semantic-search

About KoBERT-KorQuAD

monologg/KoBERT-KorQuAD

Korean MRC (KorQuAD) with KoBERT

This project helps developers and researchers working with Korean natural language processing to build models that can answer questions from text. It takes Korean text documents and associated questions as input, and outputs specific answer spans extracted from the text. This is useful for anyone building Korean-language question answering systems.

Korean NLP Question Answering Natural Language Processing Machine Reading Comprehension Text Analysis

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