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pro vyhledávání: '"Chen, Huajun"'
Long-tailed relation classification is a challenging problem as the head classes may dominate the training phase, thereby leading to the deterioration of the tail performance. Existing solutions usually address this issue via class-balancing strategi
Externí odkaz:
http://arxiv.org/abs/2009.07022
Link prediction is an important way to complete knowledge graphs (KGs), while embedding-based methods, effective for link prediction in KGs, perform poorly on relations that only have a few associative triples. In this work, we propose a Meta Relatio
Externí odkaz:
http://arxiv.org/abs/1909.01515
Relation extraction aims to extract relational facts from sentences. Previous models mainly rely on manually labeled datasets, seed instances or human-crafted patterns, and distant supervision. However, the human annotation is expensive, while human-
Externí odkaz:
http://arxiv.org/abs/1908.08507