Awesome Causality in NLP

A curated list of causality in NLP. :-)

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Table of Contents

• Papers
  • Survey
  • Research Paper
• Researchers
• Workshops
• Related Repos

Papers

Research Paper

Year	Venue	Title
2000	ACL	Extracting Causal Knowledge from a Medical Database Using Graphical Patterns
2000	COLING	KCAT: A Korean Corpus Annotating Tool Minimizing Human Intervention
2008	ACL	Learning Semantic Links from a Corpus of Parallel Temporal and Causal Relations
2011	EMNLP	Minimally Supervised Event Causality Identification
2012	EMNLP	Excitatory or Inhibitory: A New Semantic Orientation Extracts Contradiction and Causality from the Web
2012	COLING	Acquiring and Generalizing Causal Inference Rules from Deverbal Noun Constructions
2012	CoNLL	Excitatory or Inhibitory: A New Semantic Orientation Extracts Contradiction and Causality from the Web
2013	ACL	Why-Question Answering using Intra- and Inter-Sentential Causal Relations
2013	ACL	What causes a causal relation? Detecting Causal Triggers in Biomedical Scientific Discourse
2014	ACL	Toward Future Scenario Generation: Extracting Event Causality Exploiting Semantic Relation, Context, and Association Features
2014	ACL	Predicting Instructor’s Intervention in MOOC forums
2014	ACL	Extracting Temporal and Causal Relations between Events
2014	COLING	An Analysis of Causality between Events and its Relation to Temporal Information
2016	ACL	Identifying Causal Relations Using Parallel Wikipedia Articles
2016	ACL	Physical Causality of Action Verbs in Grounded Language Understanding
2016	ACL	Case and Cause in Icelandic: Reconstructing Causal Networks of Cascaded Language Changes
2016	EMNLP	Creating Causal Embeddings for Question Answering with Minimal Supervision
2016	COLING	CATENA: CAusal and TEmporal relation extraction from NAtural language texts
2016	COLING	Chinese Tense Labelling and Causal Analysis
2017	ACL	Recognizing Counterfactual Thinking in Social Media Texts
2017	EMNLP	A causal framework for explaining the predictions of black-box sequence-to-sequence models
2017	EMNLP	Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation
2017	CoNLL	Feature Selection as Causal Inference: Experiments with Text Classification
2018	ACL	A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature
2018	ACL	Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback
2018	ACL	Joint Reasoning for Temporal and Causal Relations
2018	ACL	Causality Analysis of Twitter Sentiments and Stock Market Returns
2018	ACL	Countering Position Bias in Instructor Interventions in MOOC Discussion Forums
2018	EMNLP	Causal Explanation Analysis on Social Media
2018	EMNLP	Challenges of Using Text Classifiers for Causal Inference
2018	NAACL	An Encoder-decoder Approach to Predicting Causal Relations in Stories
2018	COLING	Crowdsourcing StoryLines: Harnessing the Crowd for Causal Relation Annotation
2018	COLING	Cyberbullying Intervention Based on Convolutional Neural Networks
2018	CoNLL	Vectorial Semantic Spaces Do Not Encode Human Judgments of Intervention Similarity
2019	ACL	Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology
2019	ACL	Conversational Response Re-ranking Based on Event Causality and Role Factored Tensor Event Embedding
2019	ACL	Transfer Learning for Causal Sentence Detection
2019	EMNLP	Identifying Predictive Causal Factors from News Streams
2019	EMNLP	Weakly Supervised Multilingual Causality Extraction from Wikipedia
2019	EMNLP	Detecting Causal Language Use in Science Findings
2019	EMNLP	Counterfactual Story Reasoning and Generation
2019	EMNLP	It’s All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution
2019	EMNLP	Event Causality Recognition Exploiting Multiple Annotators’ Judgments and Background Knowledge
2019	EMNLP	Towards Machine Reading for Interventions from Humanitarian-Assistance Program Literature
2019	EMNLP	Evaluating Research Novelty Detection: Counterfactual Approaches
2019	NAACL	Modeling Document-level Causal Structures for Event Causal Relation Identification
2019	NAACL	Enabling Search and Collaborative Assembly of Causal Interactions Extracted from Multilingual and Multi-domain Free Text
2019	NAACL	Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models
2020	ACL	Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates
2020	EMNLP	De-Biased Court’s View Generation with Causality
2020	EMNLP	Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning
2020	EMNLP	Exploring Logically Dependent Multi-task Learning with Causal Inference
2020	EMNLP	XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
2020	EMNLP	Conditional Causal Relationships between Emotions and Causes in Texts
2020	EMNLP	Learning to Contrast the Counterfactual Samples for Robust Visual Question Answering
2020	EMNLP	Counterfactual Off-Policy Training for Neural Dialogue Generation
2020	EMNLP	SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning
2020	EMNLP	Less is More: Attention Supervision with Counterfactuals for Text Classification
2020	EMNLP	Counterfactual Generator: A Weakly-Supervised Method for Named Entity Recognition
2020	EMNLP	Causal Inference of Script Knowledge
2020	EMNLP	Reducing Sentiment Bias in Language Models via Counterfactual Evaluation
2020	EMNLP	Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports
2020	EMNLP	Neutralizing Gender Bias in Word Embeddings with Latent Disentanglement and Counterfactual Generation
2020	EMNLP	Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data
2020	EMNLP	Twitter Data Augmentation for Monitoring Public Opinion on COVID-19 Intervention Measures
2020	COLING	A Review of Dataset and Labeling Methods for Causality Extraction
2020	COLING	KnowDis: Knowledge Enhanced Data Augmentation for Event Causality Detection via Distant Supervision
2020	COLING	Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification
2020	COLING	A Sentiment-annotated Dataset of English Causal Connectives
2020	Findings	Reducing Sentiment Bias in Language Models via Counterfactual Evaluation
2020	Findings	Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports
2020	Findings	Neutralizing Gender Bias in Word Embeddings with Latent Disentanglement and Counterfactual Generation
2021	ACL	Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis
2021	ACL	COSY: COunterfactual SYntax for Cross-Lingual Understanding
2021	ACL	Learning Faithful Representations of Causal Graphs
2021	ACL	Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models
2021	ACL	ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning
2021	ACL	LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification
2021	ACL	Element Intervention for Open Relation Extraction
2021	ACL	De-biasing Distantly Supervised Named Entity Recognition via Causal Intervention
2021	ACL	Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks
2021	ACL	Counterfactual Inference for Text Classification Debiasing
2021	ACL	Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models
2021	ACL	Counterfactuals to Control Latent Disentangled Text Representations for Style Transfer
2021	ACL	Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions
2021	ACL	Doing Good or Doing Right? Exploring the Weakness of Commonsense Causal Reasoning Models
2021	ACL	Improving Counterfactual Generation for Fair Hate Speech Detection
2021	NAACL	Counterfactual Data Augmentation for Neural Machine Translation
2021	NAACL	Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis
2021	NAACL	Counterfactual Supporting Facts Extraction for Explainable Medical Record Based Diagnosis with Graph Network
2021	NAACL	Graph Convolutional Networks for Event Causality Identification with Rich Document-level Structures
2021	NAACL	Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation
2021	NAACL	Causal Effects of Linguistic Properties
2021	NAACL	Error Causal inference for Multi-Fusion models
2021	NAACL	Enhancing Multiple-Choice Question Answering with Causal Knowledge
2021	NAACL	Statistically Evaluating Social Media Sentiment Trends towards COVID-19 Non-Pharmaceutical Interventions with Event Studies
2021	EACL	Interventions Recommendation: Professionals’ Observations Analysis in Special Needs Education
2021	Findings	Discovering Topics in Long-tailed Corpora with Causal Intervention
2021	Findings	What if This Modified That? Syntactic Interventions with Counterfactual Embeddings
2021	Findings	Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement
2021	Findings	Empowering Language Understanding with Counterfactual Reasoning
2021	Findings	Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions?
2021	Findings	John praised Mary because he? Implicit Causality Bias and Its Interaction with Explicit Cues in LMs

Researchers

• Susan Athey
• David M. Blei
• Cristian Danescu-Niculescu-Mizil
• Bernhard Schölkopf
• Aron Culotta
• Amir Feder
• Jacob Eisenstein
• Dhanya Sridhar
• Brandon Stewart
• Justine Zhang

Workshops

• First Workshop on Causal Inference & NLP

Related Repos

• causaltext/causal-text-papers
• fulifeng/Causal_Reading_Group
• zhijing-jin/Causality4NLP_Papers
• wangzheng17/awesome-causal-vision
• Awesome-Causality-in-CV
• napsternxg/awesome-causality
• awesome-causality-algorithms
• jvpoulos/causal-ml
• RL-Causality
• awesome-causal-inference

Licenses

To the extent possible under law, Zhihong Chen has waived all copyright and related or neighboring rights to this work.