- Improving Knowledge Graph Embedding Using Simple Constraints
- Towards Understanding the Geometry of Knowledge Graph Embeddings
- Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures
- Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval
- Neural Natural Language Inference Models Enhanced with External Knowledge
- A Study of the Importance of External Knowledge in the Named Entity Recognition Task
- Knowledge Graph Embedding with Numeric Attributes of Entities
- Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking
- LinkNBed: Multi-Graph Representation Learning with Entity Linkage
- Improving Entity Linking by Modeling Latent Relations between Mentions
- A Walk-based Model on Entity Graphs for Relation Extraction
- Type-Sensitive Knowledge Base Inference Without Explicit Type Supervision