@inproceedings{patel-ferraro-2020-complementary,
    title = "On the Complementary Nature of Knowledge Graph Embedding, Fine Grain Entity Types, and Language Modeling",
    author = "Patel, Rajat  and
      Ferraro, Francis",
    editor = "Agirre, Eneko  and
      Apidianaki, Marianna  and
      Vuli{\'c}, Ivan",
    booktitle = "Proceedings of Deep Learning Inside Out (DeeLIO): The First Workshop on Knowledge Extraction and Integration for Deep Learning Architectures",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2020.deelio-1.11/",
    doi = "10.18653/v1/2020.deelio-1.11",
    pages = "89--99",
    abstract = "We demonstrate the complementary natures of neural knowledge graph embedding, fine-grain entity type prediction, and neural language modeling. We show that a language model-inspired knowledge graph embedding approach yields both improved knowledge graph embeddings and fine-grain entity type representations. Our work also shows that jointly modeling both structured knowledge tuples and language improves both."
}