NLP-Knowledge-Graph is a Chinese-language knowledge graph and NLP research project with 1765 stars and MIT license, focusing on KG, NLP, and dialogue systems. It provides extensive reference materials and links, but the README content is largely navigational and non-technical.
Collecting history — the radar snapshots this repo daily. The trend line appears after 3 days of data (1 so far).
What it is
NLP-Knowledge-Graph appears to be a repository centered on natural language processing, knowledge graphs, dialogue systems, and large-model techniques. The repository includes sections on knowledge graph evolution, research summaries, and various reference links. It does not present a single runnable project or codebase in the truncated README, but aggregates topics and resources related to KGQA, NLP, and dialogue systems.
How it works
There is no explicit description of a runnable tool or architecture in the provided README excerpt. The content consists of conceptual topics, references to papers, datasets, and conference materials. No implementation details, modules, or workflows are shown in the truncated README.
Getting started
No setup or installation instructions are present in the truncated README. The README begins with a brief note inviting contributors and proceeds to topic sections and external links without commands or configuration guidelines.
Recent releases
RELEASES (latest 0):
- none
Traction
stars_7d or stars_1d are not provided in FACTS, so this section is omitted.
Behind the repo
Linked startup/company information is not provided in FACTS, so this section is omitted.
Caveats
- license: MIT
- created: 2019-01-29
- last_push: 2025-02-08
- open_issues: 1
- language: -
- topics include agent, knowledge-graph, llm, transformers, bert, ernie, nlp, etc.