QS
BDBC-KG-NLP/QA-Survey-CN
北京航空航天大学大数据高精尖中心自然语言处理研究团队开展了智能问答的研究与应用总结。包括基于知识图谱的问答（KBQA），基于文本的问答系统（TextQA），基于表格的问答系统（TableQA）、基于视觉的问答系统（VisualQA）和机器阅读理解（MRC）等，每类任务分别对学术界和工业界进行了相关总结。
1.8k 261 +0/wk
GitHub
cqa kbqa nlp qa qa-survey question-answering survey tqa vqa
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Star & Fork Trend (18 data points)
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BDBC-KG-NLP/QA-Survey-CN has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | QA-Survey-CN | ChineseNLP | Keras-TextClassification | awesome-knowledge-graph |
|---|---|---|---|---|
| Stars | 1.8k | 1.8k | 1.8k | 1.8k |
| Forks | 261 | 263 | 399 | 161 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | N/A | HTML | Python | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | N/A | MIT | N/A |
Capability Radar vs ChineseNLP
QA-Survey-CN
ChineseNLP
Maintenance Activity 0
Last code push 1099 days ago.
Community Engagement 72
Fork-to-star ratio: 14.4%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.