Skip to content
conftrace_

Knowledge & Reasoning

4,397 papers (1 classified directly here)

17
15
425
771
'10
'15
'20
'25

Papers (including subtopics)

Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading EMNLP 2020 Discovering cause-effect relationships in spatial systems with a known direction based on observational data PGM 2020 Discrete Embedding for Latent Networks IJCAI 2020 Distributionally Robust Counterfactual Risk Minimization AAAI 2020 Dual Attention Network for Cross-lingual Entity Alignment COLING 2020 DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion EMNLP 2020 Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph EMNLP 2020 DYNOTEARS: Structure Learning from Time-Series Data AISTATS 2020 Efficient Adjustment Sets for Population Average Causal Treatment Effect Estimation in Graphical Models JMLR 2020 Efficient Intervention Design for Causal Discovery with Latents ICML 2020 Efficient Model-Based Diagnosis of Sequential Circuits AAAI 2020 Embedding Words in Non-Vector Space with Unsupervised Graph Learning EMNLP 2020 End-to-End Argumentation Knowledge Graph Construction AAAI 2020 Enhancing Topic Models by Incorporating Explicit and Implicit External Knowledge ACML 2020 ENT-DESC: Entity Description Generation by Exploring Knowledge Graph EMNLP 2020 Entities as Experts: Sparse Memory Access with Entity Supervision EMNLP 2020 Entity Attribute Relation Extraction with Attribute-Aware Embeddings EMNLP 2020 Entity Linking for Short Text Using Structured Knowledge Graph via Multi-Grained Text Matching Interspeech 2020 Entrainment2Vec: Embedding Entrainment for Multi-Party Dialogues AAAI 2020 Entropic Causal Inference: Identifiability and Finite Sample Results NeurIPS 2020 Epistemic Integrity Constraints for Ontology-Based Data Management AAAI 2020 ERLKG: Entity Representation Learning and Knowledge Graph based association analysis of COVID-19 through mining of unstructured biomedical corpora EMNLP 2020 Estimation Rates for Sparse Linear Cyclic Causal Models UAI 2020 Evaluating the Calibration of Knowledge Graph Embeddings for Trustworthy Link Prediction EMNLP 2020 Evaluation of Causal Structure Learning Algorithms via Risk Estimation UAI 2020