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
Bibtex:
Tags:
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superseded= {}
}