A natural language frame semantics parser. 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.
Last Releases
- Merge pull request #568 from slingdata-io/v1.4.10V1.4.10 Source: https://github.com/slingdata-io/sling-cli/releases/tag/v1.4.10
- v1.4.9Sling v1.4.9 (2025-05-25T01:01:37Z) Bug Fixes & Improvements CSV Schema Handling: Fixed potential out-of-bounds errors and addressed schema inconsistencies Data Type Corrections: Changed ‘real’ data type from decimal to float in… Read more: v1.4.9
- v1.4.8Sling v1.4.8 (2025-05-13T18:38:17Z) Fix Redshift Unload Fix critical bug with sling agent Source: https://github.com/slingdata-io/sling-cli/releases/tag/v1.4.8
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