Masashi Shimbo

Transductive Data Augmentation with Relational Path Rule Mining for Knowledge Graph Embedding

2021

For knowledge graph completion, two major types of prediction models exist: one based on graph embeddings, and the other based on relation path rule induction. They have different advantages and disadvantages. To take advantage of …

Rethinking Loss Functions for Fact Verification

2024

We explore loss functions for fact verification in the FEVER shared task.While the crossentropy loss is a standard objective for training verdict predictors, it fails to capture the heterogeneity among the FEVER verdict classes.In this …