Alfio Gliozzo

Distributional Negative Sampling for Knowledge Base Completion

2019 · arXiv (Cornell University)

State-of-the-art approaches for Knowledge Base Completion (KBC) exploit deep neural networks trained with both false and true assertions: positive assertions are explicitly taken from the knowledge base, whereas negative ones are generated by random sampling …

Taxonomy Construction of Unseen Domains via Graph-based Cross-Domain Knowledge Transfer

2020

Extracting lexico-semantic relations as graphstructured taxonomies, also known as taxonomy construction, has been beneficial in a variety of NLP applications. Recently Graph Neural Network (GNN) has shown to be powerful in successfully tackling many tasks. …