GitHub / kmdn / combining-linking-techniques
Combining Linking Techniques (CLiT) is an entity linking combination and execution framework, allowing for the seamless integration of EL systems and result exploitation for the sake of system reusability, result reproducibility, analysis and continuous improvement. (We hate waste. Especially wasting time. So let's reuse instead!)
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kmdn%2Fcombining-linking-techniques
PURL: pkg:github/kmdn/combining-linking-techniques
Stars: 5
Forks: 1
Open issues: 8
License: mit
Language: Python
Size: 2.17 MB
Dependencies parsed at: Pending
Created at: over 3 years ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: about 1 year ago
Topics: candidate-generation, candidate-selection, disambiguation, entity-linking, framework, knowledge-graph, mention-detection, named-entity-disambiguation, named-entity-linking, named-entity-recognition, natural-language-processing, nlp