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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

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