ringgaard / sling
SLING - A natural language frame semantics parser
Why this job: topics: neural-network, natural-language-processing, machine-learning
What it does
The aim of the SLING project is to learn to read and understand Wikipedia articles in many languages for the purpose of knowledge base completion, e.g. adding facts mentioned in Wikipedia (and other sources) to the Wikidata knowledge base. We use frame semantics as a common representation for both knowledge representation and document annotation. The SLING parser can be trained to produce frame semantic representations of text directly without any explicit intervening linguistic representation.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 2 months ago
- Stars
- 179
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- C++
- 74% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 65% closed
- 6 still open
- Pull requests
- 3 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- C++ 74%
- Python 14%
- JavaScript 11%
- Starlark 1%
Topics
- frame-semantic-parsing
- frame-semantics
- jit-compiler
- knowledge-management
- knowledge-representation
- machine-learning
- natural-language-processing
- natural-language-understanding
- neural-network
- nlp
- wikidata
Project record
- JobAI libraries and models
- StatusListed
- Commits3,163
- Forks12
- Watching10
- Stars in 28 days0
- CreatedOct 12, 2017
- First seen by usNov 7, 2026
- CheckedNov 8, 2026
