uoneway/KoBertSum
KoBertSum은 BertSum모델을 한국어 데이터에 적용할 수 있도록 수정한 한국어 요약 모델입니다.
This tool helps Korean-speaking content creators, researchers, or analysts quickly summarize long Korean news articles. It takes raw Korean news text as input and produces a concise summary, allowing you to grasp key information without reading the entire article. You'd use this to extract the most important sentences from extensive news datasets.
Use this if you need to automatically generate extractive summaries for large volumes of Korean news articles, focusing on pulling key sentences directly from the original text.
Not ideal if you need summaries for diverse Korean text types beyond news articles, or if you require abstractive summaries that rephrase information rather than extracting original sentences.
Stars
84
Forks
38
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 06, 2025
Commits (30d)
0
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