A Novel Approach to a Semantically-Aware Representation of Items (NASARI) Dataset
Created by Camacho-Collados et al. at 2016, the A Novel Approach to a Semantically-Aware Representation of Items (NASARI) Dataset contains semantic vector representations for BabelNet synsets and Wikipedia pages in several languages: English, Spanish, French, German and Italian. Currently available three vector types: lexical, unified and embedded., in Multi-Lingual language. Containing 610K-4.4M depending on language in Text file format.
Dataset Sources
Here you can download the A Novel Approach to a Semantically-Aware Representation of Items (NASARI) dataset in Text format.
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Paper
Read full original A Novel Approach to a Semantically-Aware Representation of Items (NASARI) paper.
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