| Name | DL | Torrents | Total Size |
kewer (5 files)
 cat-pred-lit.bin | 773.73MB |
| cat-pred-lit.bin.trainables.syn1neg.npy | 9.56GB |
| cat-pred-lit.bin.wv.vectors.npy | 9.56GB |
| cat-pred-lit.text | 27.94GB |
| word_probs | 201.57MB |
Type: Dataset
Tags: knowledge graph, embeddings
Bibtex:
Tags: knowledge graph, embeddings
Bibtex:
@article{,
title= {KEWER embeddings},
journal= {},
author= {Fedor Nikolaev},
year= {},
url= {https://github.com/teanalab/kewer},
abstract= {KEWER embeddings for ECIR 2020 paper "Joint Word and Entity Embeddings for Entity Retrieval from Knowledge Graph"},
keywords= {knowledge graph, embeddings},
terms= {},
license= {},
superseded= {}
}