FB15k-237

doi:doi:10.57702/prbiqz2r

FB15k-237

Knowledge graphs (KGs) are collections of facts. Some well-known knowledge graphs include Freebase (Bollacker et al., 2008), Word-Net (Miller, 1995), YAGO (Suchanek et al., 2007) and NELL (Mitchell et al., 2018), are proved to be effective for a variety of downstream applications, such as question answering (Ferrucci et al., 2010), information extraction (Mintz et al., 2009) and recommender systems (Zhang et al., 2016).

BibTex:

@dataset{Dai_Quoc_Nguyen_and_Tu_Dinh_Nguyen_and_Dat_Quoc_Nguyen_and_Dinh_Phung_2024,
    abstract = {Knowledge graphs (KGs) are collections of facts. Some well-known knowledge graphs include Freebase (Bollacker et al., 2008), Word-Net (Miller, 1995), YAGO (Suchanek et al., 2007) and NELL (Mitchell et al., 2018), are proved to be effective for a variety of downstream applications, such as question answering (Ferrucci et al., 2010), information extraction (Mintz et al., 2009) and recommender systems (Zhang et al., 2016).},
    author = {Dai Quoc Nguyen and Tu Dinh Nguyen and Dat Quoc Nguyen and Dinh Phung},
    doi = {10.57702/prbiqz2r},
    institution = {No Organization},
    keyword = {'Embeddings', 'Entity Disambiguation', 'FB15k-237', 'Few-Shot Learning', 'Graph Embeddings', 'Inductive Relation Prediction', 'Information Extraction', 'Knowledge Graph', 'Knowledge Graphs', 'Link Prediction', 'Question Answering', 'Recommender Systems', 'Triple Completion', 'Triple Store', 'entities', 'entity', 'knowledge graph', 'knowledge graphs', 'query embedding', 'question answering', 'relation', 'relations'},
    month = {nov},
    publisher = {TIB},
    title = {FB15k-237},
    url = {https://service.tib.eu/ldmservice/dataset/fb15k-237},
    year = {2024}
}