Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Retrieve and Re-rank: A Simple and Effective IR Approach to Simple Question Answering over Knowledge Graphs
Learning to rank for robust question answering
The First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR)
QUINT: Interpretable Question Answering over Knowledge Bases
Core Techniques of Ontology-Based Question Answering Systems : a Survey
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
GQBE: Querying knowledge graphs by example entity tuples
Learning to Rank Question Answer Pairs with Holographic Dual LSTM Architecture
Faceted search over RDF-based knowledge graphs
Knowledge Graph Exploration for Natural Language Understanding in Web Information Retrieval
Instant Espresso: Interactive Analysis of Relationships in Knowledge Graphs
Explaining and Suggesting Relatedness in Knowledge Graphs
Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval
Keyword Search on RDF Graphs - A Query Graph Assembly Approach
SLS at SemEval-2016 Task 3: Neural-based Approaches for Ranking in Community Question Answering
Explicit Semantic Ranking for Academic Search via Knowledge Graph Embedding
Passage retrieval vs. document retrieval for factoid question answering
Graph-Structured Representations for Visual Question Answering
Community-Based Question Answering via Asymmetric Multi-Faceted Ranking Network Learning.
Improving Question Answering Sentence Selection by Rank Propagation
Improving Question Retrieval in Community Question Answering Using World Knowledge
Continuous Top-k Monitoring on Document Streams
Imaging radar simulation in realistic environment using shooting and bouncing rays technique
Physical examination of the elbow, what is the evidence? A systematic literature review
Anti-Inflammatory Properties and Chemical Characterization of the Essential Oils of Four Citrus Species
Bilateral Multi-Perspective Matching for Natural Language Sentences