BDBC-KG-NLP/QA-Survey-CN resource
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。 observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2318
- days_rel: n/a
- days_push: 1245
- n_releases_24m: 0
Adoption not part of the score
1817 stars · 259 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Chinese-language survey of question answering research maintained by Beihang University's NLP team, covering KBQA, TextQA, TableQA, VisualQA, Community QA, and Machine Reading Comprehension. It summarizes academic papers and industrial systems for each QA task and is periodically updated.
Use cases
- survey of question answering systems
- learn about knowledge base question answering
- overview of visual question answering research
- machine reading comprehension literature review
- table question answering research summary
- community question answering academic and industry overview
When to choose
- you need a curated Chinese-language overview of QA research areas
- you are starting research in KBQA, VQA, MRC, or related QA tasks
- you want pointers to both academic papers and industrial systems
When to avoid
- you need runnable software or code rather than a survey
- you require an English-language survey
- you need up-to-the-minute coverage after 2023
Facets
learning-resource · maturity maintenance
nlp documentation artificial-intelligence tutorials survey question-answering kbqa vqa mrc chinese academic-survey natural-language-processing web-server
1 source
- readme: https://github.com/BDBC-KG-NLP/QA-Survey-CN · fetched 2026-08-28 · 3b24e0286de1
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| BDBC-KG-NLP/QA-Survey-CN | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="BDBC-KG-NLP/QA-Survey-CN")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem