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for Entity Retrieval from Knowledge Graph"}, keywords= {knowledge graph, embeddings}, terms= {}, license= {}, superseded= {} }
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