# 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。

Repository: https://github.com/BDBC-KG-NLP/QA-Survey-CN
Canonical: https://ross.abutalabs.com/products/qa-survey-cn
License Family: other
Topics: survey, nlp, question-answering, kbqa, cqa, qa-survey, vqa, tqa, qa
Last push: 2023-04-06T09:45:07+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2318, "days_push": 1245, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1817, forks 259 (observed 2026-08-28T04:05:40.577690+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: maintenance
- function: nlp, documentation
- domain: artificial-intelligence, tutorials
- platform: -
- tags: survey, question-answering, kbqa, vqa, mrc, chinese, academic-survey, natural-language-processing, web-server

## Member repositories
- BDBC-KG-NLP/QA-Survey-CN (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:40.577690+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:20:10.237643+00:00, confidence not recorded.
  - readme: https://github.com/BDBC-KG-NLP/QA-Survey-CN (fetched 2026-08-28T04:05:40.577690+00:00, sha 3b24e0286de1)
- Data as of 2026-08-30T08:39:29.467469+00:00.