Knowledge & Reasoning
4,397 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
1
1
9
8
16
8
17
20
20
37
18
15
41
151
214
332
425
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532
504
706
771
136
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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