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Methodology
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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
Knowing-How under Uncertainty (Extended Abstract)
IJCAI 2020
Determining Inference Semantics for Disjunctive Logic Programs (Extended Abstract)
IJCAI 2020
What-if I ask you to explain: Explaining the effects of perturbations in procedural text
EMNLP 2020
Detecting Stance in Media On Global Warming
EMNLP 2020
Logics of Allies and Enemies: A Formal Approach to the Dynamics of Social Balance Theory
IJCAI 2020
Identifying Causal Relationships Between Behavior and Local Brain Activity During Natural Conversation
INTERSPEECH 2020
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks
NIPS 2020
Integrating knowledge graph embeddings to improve mention representation for bridging anaphora resolution
COLING 2020
UPB at FinCausal-2020, Tasks 1 & 2: Causality Analysis in Financial Documents using Pretrained Language Models
COLING 2020
ProsperAMnet at FinCausal 2020, Task 1 & 2: Modeling causality in financial texts using multi-headed transformers
COLING 2020
Experiencers, Stimuli, or Targets: Which Semantic Roles Enable Machine Learning to Infer the Emotions?
COLING 2020
Masked Reasoner at SemEval-2020 Task 4: Fine-Tuning RoBERTa for Commonsense Reasoning
COLING 2020
CLaC at SemEval-2020 Task 5: Muli-task Stacked Bi-LSTMs
COLING 2020
CNRL at SemEval-2020 Task 5: Modelling Causal Reasoning in Language with Multi-Head Self-Attention Weights Based Counterfactual Detection
COLING 2020
Yseop at SemEval-2020 Task 5: Cascaded BERT Language Model for Counterfactual Statement Analysis
COLING 2020
ETHAN at SemEval-2020 Task 5: Modelling Causal Reasoning in Language Using Neuro-symbolic Cloud Computing
COLING 2020
Deep Structural Causal Models for Tractable Counterfactual Inference
NIPS 2020
Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs
NIPS 2020
A polynomial-time algorithm for learning nonparametric causal graphs
NIPS 2020
Better Set Representations For Relational Reasoning
NIPS 2020
Reasoning Requirements for Indirect Speech Act Interpretation
COLING 2020
Interventional Few-Shot Learning
NIPS 2020
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation
NIPS 2020
Representation, Learning and Reasoning on Spatial Language for Downstream NLP Tasks
EMNLP 2020
Counterfactual Generator: A Weakly-Supervised Method for Named Entity Recognition
EMNLP 2020
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