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Methodology
← Reasoning
Knowledge & Reasoning
›
Reasoning
›
Causal Inference
934 directly classified papers
Papers per year
2006: 3
2007: 2
2008: 9
2009: 5
2010: 8
2011: 5
2012: 4
2013: 11
2014: 7
2015: 11
2016: 18
2017: 14
2018: 32
2019: 69
2020: 91
2021: 82
2022: 129
2023: 158
2024: 160
2025: 107
2026: 9
Papers
Time-to-Event Models for Analyzing Reaction Time Sequences
INTERSPEECH 2021
Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Dataset
EMNLP 2021
Inference of causal effects when control variables are unknown
UAI 2021
A Bayesian nonparametric conditional two-sample test with an application to Local Causal Discovery
UAI 2021
Markov equivalence of max-linear Bayesian networks
UAI 2021
Think about it! Improving defeasible reasoning by first modeling the question scenario.
EMNLP 2021
Identifying Causal Influences on Publication Trends and Behavior: A Case Study of the Computational Linguistics Community
EMNLP 2021
CARE: Commonsense-Aware Emotional Response Generation with Latent Concepts
AAAI 2021
Conditional independences and causal relations implied by sets of equations
JMLR 2021
Knowledge-Enhanced Evidence Retrieval for Counterargument Generation
EMNLP 2021
Equivalent Causal Models
AAAI 2021
Generating Hypothetical Events for Abductive Inference
ACL 2021
A Bayesian Framework for Information-Theoretic Probing
EMNLP 2021
Multivalent Entailment Graphs for Question Answering
EMNLP 2021
An Attention Based Multi-view Model for Sarcasm Cause Detection (Student Abstract)
AAAI 2021
Model-Free and Model-Based Policy Evaluation when Causality is Uncertain
ICML 2021
Policy Analysis using Synthetic Controls in Continuous-Time
ICML 2021
Exploiting Reasoning Chains for Multi-hop Science Question Answering
EMNLP 2021
Discourse-Level Event Temporal Ordering with Uncertainty-Guided Graph Completion
IJCAI 2021
Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects
AISTATS 2021
Towards Interpretable Reasoning over Paragraph Effects in Situation
EMNLP 2020
GLUCOSE: GeneraLized and COntextualized Story Explanations
EMNLP 2020
Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder
ACL 2020
Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables
JMLR 2020
Integrating Deep Learning with Logic Fusion for Information Extraction
AAAI 2020
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