Knowledge & Reasoning

Interpretable Almost-Exact Matching for Causal Inference AISTATS 2019 Interpretable Question Answering on Knowledge Bases and Text ACL 2019 Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding AISTATS 2019 Intervening on Network Ties UAI 2019 Inverse Abstraction of Neural Networks Using Symbolic Interpolation AAAI 2019 Iterated Belief Base Revision: A Dynamic Epistemic Logic Approach AAAI 2019 Jeff Da at COIN - Shared Task: BIG MOOD: Relating Transformers to Explicit Commonsense Knowledge EMNLP 2019 Jointly Extracting Multiple Triplets with Multilayer Translation Constraints AAAI 2019 Jointly Learning Entity and Relation Representations for Entity Alignment EMNLP 2019 Joint Representation Learning for Multi-Modal Transportation Recommendation AAAI 2019 Joint Semantic and Distributional Word Representations with Multi-Graph Embeddings EMNLP 2019 K3S: Knowledge-Driven Solution Support System AAAI 2019 KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning EMNLP 2019 KCAT: A Knowledge-Constraint Typing Annotation Tool ACL 2019 Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs EMNLP 2019 Knowledge-aware Pronoun Coreference Resolution ACL 2019 Knowledge-Embedded Routing Network for Scene Graph Generation CVPR 2019 Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations EMNLP 2019 KnowledgeNet: A Benchmark Dataset for Knowledge Base Population EMNLP 2019 Knowledge Refinement via Rule Selection AAAI 2019 Latent semantic network induction in the context of linked example senses EMNLP 2019 Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs ACL 2019 Learning by Abstraction: The Neural State Machine NeurIPS 2019 Learning Compact Models for Planning with Exogenous Processes CoRL 2019 Learning Deterministic Weighted Automata with Queries and Counterexamples NeurIPS 2019