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Methodology
← Core AI
Artificial Intelligence
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Causal Inference
3310 directly classified papers
Papers per year
2002: 1
2003: 2
2004: 1
2005: 2
2006: 7
2007: 6
2008: 9
2009: 9
2010: 15
2011: 8
2012: 15
2013: 32
2014: 16
2015: 28
2016: 39
2017: 62
2018: 98
2019: 201
2020: 277
2021: 372
2022: 426
2023: 511
2024: 601
2025: 389
2026: 183
Papers
An Analysis of Dataset Overlap on Winograd-Style Tasks
COLING 2020
LangResearchLab_NC at FinCausal 2020, Task 1: A Knowledge Induced Neural Net for Causality Detection
COLING 2020
CREDICI: A Java Library for Causal Inference by Credal Networks
PGM 2020
Structural Causal Models Are (Solvable by) Credal Networks
PGM 2020
Hawkesian Graphical Event Models
PGM 2020
Building Causal Interaction Models by Recursive Unfolding
PGM 2020
Discovering cause-effect relationships in spatial systems with a known direction based on observational data
PGM 2020
Causal Feature Learning for Utility-Maximizing Agents
PGM 2020
Investigating Matureness of Probabilistic Graphical Models for Dry-Bulk Shipping
PGM 2020
Bayesian network structure learning with causal effects in the presence of latent variables
PGM 2020
Exploring End-to-End Differentiable Natural Logic Modeling
COLING 2020
Modelling Long-distance Node Relations for KBQA with Global Dynamic Graph
COLING 2020
Logic-guided Semantic Representation Learning for Zero-Shot Relation Classification
COLING 2020
HIT-SCIR at SemEval-2020 Task 5: Training Pre-trained Language Model with Pseudo-labeling Data for Counterfactuals Detection
COLING 2020
IITK-RSA at SemEval-2020 Task 5: Detecting Counterfactuals
COLING 2020
Towards Preemptive Detection of Depression and Anxiety in Twitter
COLING 2020
Improving Medical NLI Using Context-Aware Domain Knowledge
COLING 2020
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network
ACL 2020
Agreement Prediction of Arguments in Cyber Argumentation for Detecting Stance Polarity and Intensity
ACL 2020
Temporal Relations Annotation and Extrapolation Based on Semi-intervals and Boundig Relations
COLING 2020
Measuring Correlation-to-Causation Exaggeration in Press Releases
COLING 2020
The Financial Document Causality Detection Shared Task (FinCausal 2020)
COLING 2020
GBe at FinCausal 2020, Task 2: Span-based Causality Extraction for Financial Documents
COLING 2020
NITK NLP at FinCausal-2020 Task 1 Using BERT and Linear models.
COLING 2020
Fraunhofer IAIS at FinCausal 2020, Tasks 1 & 2: Using Ensemble Methods and Sequence Tagging to Detect Causality in Financial Documents
COLING 2020
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