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Knowledge Graphs

1534 directly classified papers

Papers per year

Papers

Building Causal Graphs from Medical Literature and Electronic Medical Records AAAI 2019
Ontology-Mediated Query Answering over Log-Linear Probabilistic Data AAAI 2019
Automated Rule Base Completion as Bayesian Concept Induction AAAI 2019
Understanding Actors and Evaluating Personae with Gaussian Embeddings AAAI 2019
Linking Educational Resources on Data Science AAAI 2019
Concept Extraction and Prerequisite Relation Learning from Educational Data AAAI 2019
Neural Relation Extraction for Knowledge Base Enrichment ACL 2019
Knowledge-Embedded Routing Network for Scene Graph Generation CVPR 2019
An End-To-End Network for Generating Social Relationship Graphs CVPR 2019
Exploring Knowledge Graphs in an Interpretable Composite Approach for Text Entailment AAAI 2019
A Spreading Activation Framework for Tracking Conceptual Complexity of Texts ACL 2019
PaperRobot: Incremental Draft Generation of Scientific Ideas ACL 2019
Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs ACL 2019
Proactive Human-Machine Conversation with Explicit Conversation Goal ACL 2019
Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model IJCNLP 2019
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning IJCNLP 2019
Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings ACL 2019
CaRe: Open Knowledge Graph Embeddings EMNLP 2019
Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs EMNLP 2019
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs EMNLP 2019
Improving Distantly-Supervised Relation Extraction with Joint Label Embedding EMNLP 2019
EL Embeddings: Geometric Construction of Models for the Description Logic EL++ IJCAI 2019
Identifying and Explaining Discriminative Attributes EMNLP 2019
Machine Reading Comprehension Using Structural Knowledge Graph-aware Network EMNLP 2019
Pingan Smart Health and SJTU at COIN - Shared Task: utilizing Pre-trained Language Models and Common-sense Knowledge in Machine Reading Tasks EMNLP 2019