Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Generating Descriptions of Entity Relationships
Learning to Explain Entity Relationships in Knowledge Graphs
Extended Entity-Relationship Model
A joint model for discovering and linking entities
Knowledge representation learning with entities, attributes and relations
Annotating and Searching Web Tables Using Entities, Types and Relationships
A Generative Entity-Mention Model for Linking Entities with Knowledge Base
RelFinder : Revealing Relationships in RDF Knowledge Bases
Entity-Aspect Linking: Providing Fine-Grained Semantics of Entities in Context
Generic Statistical Relational Entity Resolution in Knowledge Graphs
Interactive Entity Resolution in Relational Data: A Visual Analytic Tool and Its Evaluation
Representation learning for measuring entity relatedness with rich information
RelNet: End-to-end Modeling of Entities&Relations
Distributed Prediction of Relations for Entities: The Easy, The Difficult, and The Impossible
Entity Relationship Model
Hierarchical entity-relationship diagrams: the model, method of creation and experimental evaluation
Generalizing to Unseen Entities and Entity Pairs with Row-less Universal Schema
SAMSTAR: a semi-automated lexical method for generating star schemas from an entity-relationship diagram
A Walk-based Model on Entity Graphs for Relation Extraction
Representation Learning of Entities and Documents from Knowledge Base Descriptions
Embedding Entities and Relations for Learning and Inference in Knowledge Bases
A Three-Way Model for Collective Learning on Multi-Relational Data
Symphony from Synapses: Neocortex as a Universal Dynamical Systems Modeller using Hierarchical Temporal Memory
Legalization of Marijuana: Potential Impact on Youth
THE KNOWLEDGE BASED-VIEW OF THE FIRM: FROM THEORETICAL ORIGINS TO FUTURE IMPLICATIONS
Screening, detection and management of delirium in the emergency department – a pilot study on the feasibility of a new algorithm for use in older emergency department patients: the modified Confusion Assessment Method for the Emergency Department (mCAM-ED)