Oa Signalling
A project to coordinate implementing a system to signal whether references cited on Wikipedia are free to reuse
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Text Segmentation | 73 | 5 years ago | 3 | Python | ||||||
| Implementation of the paper: Text Segmentation as a Supervised Learning Task | ||||||||||
| Wiki Split | 72 | 5 years ago | 2 | |||||||
| One million English sentences, each split into two sentences that together preserve the original meaning, extracted from Wikipedia edits. | ||||||||||
| Awesome Knowledge Graph Construction | 69 | 2 years ago | mit | |||||||
| Muppet | 29 | 4 years ago | 1 | other | Python | |||||
| Code for the paper "multi-hop paragraph retrieval for open-domain question answering" | ||||||||||
| Oa Signalling | 19 | 7 years ago | 80 | gpl-3.0 | Jupyter Notebook | |||||
| A project to coordinate implementing a system to signal whether references cited on Wikipedia are free to reuse | ||||||||||
| Semantic Document Relations | 18 | 3 years ago | mit | Python | ||||||
| Implementation, trained models and result data for the paper "Pairwise Multi-Class Document Classification for Semantic Relations between Wikipedia Articles" | ||||||||||
| Gretel Path Extrapolation | 15 | 4 years ago | apache-2.0 | Python | ||||||
| Implementation for the paper "Extrapolating paths with graph neural networks" | ||||||||||
| Zsl_pp_cvpr17 | 12 | 4 years ago | mit | MATLAB | ||||||
| Code for the paper CVPR‘17 “Zero Shot Learning from Noisy Text Description at Part Precision” | ||||||||||
| Wikipedia Category Graph | 9 | 9 years ago | apache-2.0 | Java | ||||||
| An implementation of the paper "Automatically assigning Wikipedia articles to macro-categories" | ||||||||||
| Citation Needed Paper | 9 | 4 years ago | 5 | Python | ||||||
| Repository of data and code to use the models described in the paper "Citation Needed: A Taxonomy and Algorithmic Assessment of Wikipedia's Verifiability" | ||||||||||
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