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cs.CL2022
Learning to Borrow -- Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion
Huda Hakami, Mona Hakami, Angrosh Mandya +1
Prior work on integrating text corpora with knowledge graphs (KGs) to improve Knowledge Graph Embedding (KGE) have obtained good performance for entities that co-occur in sentences…
cs.CL2022★ 1 cited
Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings
Danushka Bollegala
Given multiple source word embeddings learnt using diverse algorithms and lexical resources, meta word embedding learning methods attempt to learn more accurate and wide-coverage w…