ruimtehol
Learn Text 'Embeddings' with 'Starspace'
Wraps the 'StarSpace' library https://github.com/facebookresearch/StarSpace allowing users to calculate word, sentence, article, document, webpage, link and entity 'embeddings'. By using the 'embeddings', you can perform text based multi-label classification, find similarities between texts and categories, do collaborative-filtering based recommendation as well as content-based recommendation, find out relations between entities, calculate graph 'embeddings' as well as perform semi-supervised learning and multi-task learning on plain text. The techniques are explained in detail in the paper: 'StarSpace: Embed All The Things!' by Wu et al. (2017), available at doi:10.48550/arXiv.1709.03856.
- Version0.3.2
- R versionunknown
- LicenseMPL-2.0
- Needs compilation?Yes
- Last release02/22/2024
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Team
Jan Wijffels
BNOSAC
Show author detailsRolesCopyright holderFacebook, Inc.
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