Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Relation Extraction and Grounding
The Tradeoffs Between Open and Traditional Relation Extraction
Investigations on Knowledge Base Embedding for Relation Prediction and Extraction
Exploring Fine-grained Entity Type Constraints for Distantly Supervised Relation Extraction
Exploring Syntactic Features For Relation Extraction Using A Convolution Tree Kernel
Causal relation extraction using cue phrase and lexical pair probabilities
CORE: Context-Aware Open Relation Extraction with Factorization Machines
End-to-end Relation Extraction using Neural Networks and Markov Logic Networks
Incorporating Selectional Preferences in Multi-hop Relation Extraction
Ranking-Based Automatic Seed Selection and Noise Reduction for Weakly Supervised Relation Extraction
Unsupervised Relation Extraction of In-Domain Data from Focused Crawls
Distantly supervised Web relation extraction for knowledge base population
Employing Word Representations and Regularization for Domain Adaptation of Relation Extraction
Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention
Large Scaled Relation Extraction with Reinforcement Learning
Typed Tensor Decomposition of Knowledge Bases for Relation Extraction
Wikification and Beyond: The Challenges of Entity and Concept Grounding
Survey on Coreference Resolution , Relation and Event Extraction
RelEx---Relation extraction using dependency parse trees
Entity-Focused Sentence Simplification for Relation Extraction
A Structured Learning Approach to Temporal Relation Extraction
A Three-Way Model for Collective Learning on Multi-Relational Data
SisFall: A Fall and Movement Dataset
World Models
Web Search as a Linguistic Tool
Reducing Test Time of Power Constrained Test by Optimal Selection of Supply Voltage