• Computer Science
  • Published in ArXiv 2019

Neural Graph Embedding Methods for Natural Language Processing

@article{Vashishth2019NeuralGE,
  title={Neural Graph Embedding Methods for Natural Language Processing},
  author={Shikhar Vashishth},
  journal={ArXiv},
  year={2019},
  volume={abs/1911.03042}
}
Knowledge graphs are structured representations of facts in a graph, where nodes represent entities and edges represent relationships between them. Recent research has resulted in the development of several large KGs. However, all of them tend to be sparse with very few facts per entity. In the first part of the thesis, we propose three solutions to alleviate this problem: (1) KG Canonicalization, i.e., identifying and merging duplicate entities in a KG, (2) Relation Extraction which involves… CONTINUE READING

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