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Cnsurvey

Cnsurvey is a categorized index of 507 Chinese-language survey papers in natural language processing and machine learning, with links for accessing the papers.

Independent OpenViST project profile, based on linked sources.

Cnsurvey — OpenViST project profile in Search & Research AI.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Cnsurvey when beginning a literature search and you want a topic-organized starting point for Chinese-language surveys.

Who it is for

  • Researchers seeking Chinese-language survey literature by NLP or machine-learning topic.
  • Students mapping an area of NLP or machine learning before reading individual papers.

Documented uses

  • Find survey papers grouped under a research topic.
  • Follow a catalogue entry to its paper-access page.
  • Explore the breadth of topics covered by Chinese NLP and machine-learning surveys.
Before you choose

Requirements & limits

The repository is public on GitHub and identifies its license as CC0-1.0. The README and paper titles are in Chinese.

  • The collection focuses on Chinese-language survey papers rather than general research-paper coverage.
  • Entries are grouped by NLP and machine-learning topics and include paper-access links.
  • The README names seven source journals and reports 507 papers.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Browse Chinese NLP and machine-learning survey papers by topic

Use CNSurvey’s categorized index to find listed Chinese-language survey papers and their paper links.

Before you start

  • Access to the CNSurvey README on GitHub or its raw README.
  • A topic of interest in natural language processing or machine learning.

Steps

  1. Open the CNSurvey README.

  2. Use the category index to choose a subject area and follow its link to the corresponding section.

  3. Review the listed survey-paper titles and publication details in that section.

  4. Follow a paper’s provided link to access its paper page or file.

Expected outcome

A topic-specific list of survey papers with links for accessing the papers.

Guide limitations

  • The collection is a bibliography of survey papers, not an AI model, API, or software framework.
  • The README describes 507 papers from selected Chinese journals; it does not document a search feature or guarantee that every external paper link remains available.
Evidence and transparency

Sources & review

Source record details
Source availability
Active
Sources checked
16 October 2026
Original website title
NiuTrans/CNSurvey · Official homepage title · retained in its source language