Kwun Ping Lai

Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion

2019 · arXiv (Cornell University)

For large-scale knowledge graphs (KGs), recent research has been focusing on the large proportion of infrequent relations which have been ignored by previous studies. For example few-shot learning paradigm for relations has been investigated. In …

Jointly Learning Word Embeddings and Latent Topics

2017

Word embedding models such as Skip-gram learn a vector-space representation for each word, based on the local word collocation patterns that are observed in a text corpus. Latent topic models, on the other hand, take …