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awesome-causality-in-nlp
A curated list of causality in NLP. :-)
https://github.com/zhjohnchan/awesome-causality-in-nlp
- Extracting Causal Knowledge from a Medical Database Using Graphical Patterns
- KCAT: A Korean Corpus Annotating Tool Minimizing Human Intervention
- Learning Semantic Links from a Corpus of Parallel Temporal and Causal Relations
- Minimally Supervised Event Causality Identification
- Excitatory or Inhibitory: A New Semantic Orientation Extracts Contradiction and Causality from the Web
- Acquiring and Generalizing Causal Inference Rules from Deverbal Noun Constructions
- Excitatory or Inhibitory: A New Semantic Orientation Extracts Contradiction and Causality from the Web
- Why-Question Answering using Intra- and Inter-Sentential Causal Relations
- What causes a causal relation? Detecting Causal Triggers in Biomedical Scientific Discourse
- Toward Future Scenario Generation: Extracting Event Causality Exploiting Semantic Relation, Context, and Association Features
- Predicting Instructor’s Intervention in MOOC forums
- Extracting Temporal and Causal Relations between Events
- An Analysis of Causality between Events and its Relation to Temporal Information
- Identifying Causal Relations Using Parallel Wikipedia Articles
- Physical Causality of Action Verbs in Grounded Language Understanding
- Case and Cause in Icelandic: Reconstructing Causal Networks of Cascaded Language Changes
- Creating Causal Embeddings for Question Answering with Minimal Supervision
- CATENA: CAusal and TEmporal relation extraction from NAtural language texts
- Chinese Tense Labelling and Causal Analysis
- Recognizing Counterfactual Thinking in Social Media Texts
- A causal framework for explaining the predictions of black-box sequence-to-sequence models
- Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation
- Feature Selection as Causal Inference: Experiments with Text Classification
- A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature
- Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback
- Joint Reasoning for Temporal and Causal Relations
- Causality Analysis of Twitter Sentiments and Stock Market Returns
- Countering Position Bias in Instructor Interventions in MOOC Discussion Forums
- Causal Explanation Analysis on Social Media
- Challenges of Using Text Classifiers for Causal Inference
- An Encoder-decoder Approach to Predicting Causal Relations in Stories
- Crowdsourcing StoryLines: Harnessing the Crowd for Causal Relation Annotation
- Cyberbullying Intervention Based on Convolutional Neural Networks
- Vectorial Semantic Spaces Do Not Encode Human Judgments of Intervention Similarity
- Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology
- Conversational Response Re-ranking Based on Event Causality and Role Factored Tensor Event Embedding
- Transfer Learning for Causal Sentence Detection
- Identifying Predictive Causal Factors from News Streams
- Weakly Supervised Multilingual Causality Extraction from Wikipedia
- Detecting Causal Language Use in Science Findings
- Counterfactual Story Reasoning and Generation
- It’s All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution
- Event Causality Recognition Exploiting Multiple Annotators’ Judgments and Background Knowledge
- Towards Machine Reading for Interventions from Humanitarian-Assistance Program Literature
- Evaluating Research Novelty Detection: Counterfactual Approaches
- Modeling Document-level Causal Structures for Event Causal Relation Identification
- Enabling Search and Collaborative Assembly of Causal Interactions Extracted from Multilingual and Multi-domain Free Text
- Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models
- Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates
- De-Biased Court’s View Generation with Causality
- Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning
- Exploring Logically Dependent Multi-task Learning with Causal Inference
- XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
- Conditional Causal Relationships between Emotions and Causes in Texts
- Learning to Contrast the Counterfactual Samples for Robust Visual Question Answering
- Counterfactual Off-Policy Training for Neural Dialogue Generation
- SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning
- Less is More: Attention Supervision with Counterfactuals for Text Classification
- Counterfactual Generator: A Weakly-Supervised Method for Named Entity Recognition
- Causal Inference of Script Knowledge
- Reducing Sentiment Bias in Language Models via Counterfactual Evaluation
- Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports
- Neutralizing Gender Bias in Word Embeddings with Latent Disentanglement and Counterfactual Generation
- Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data
- Twitter Data Augmentation for Monitoring Public Opinion on COVID-19 Intervention Measures
- A Review of Dataset and Labeling Methods for Causality Extraction
- KnowDis: Knowledge Enhanced Data Augmentation for Event Causality Detection via Distant Supervision
- Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification
- A Sentiment-annotated Dataset of English Causal Connectives
- Reducing Sentiment Bias in Language Models via Counterfactual Evaluation
- Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports
- Neutralizing Gender Bias in Word Embeddings with Latent Disentanglement and Counterfactual Generation
- Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis
- COSY: COunterfactual SYntax for Cross-Lingual Understanding
- Learning Faithful Representations of Causal Graphs
- Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models
- ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning
- LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification
- Element Intervention for Open Relation Extraction
- De-biasing Distantly Supervised Named Entity Recognition via Causal Intervention
- Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks
- Counterfactual Inference for Text Classification Debiasing
- Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models
- Counterfactuals to Control Latent Disentangled Text Representations for Style Transfer
- Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions
- Doing Good or Doing Right? Exploring the Weakness of Commonsense Causal Reasoning Models
- Improving Counterfactual Generation for Fair Hate Speech Detection
- Counterfactual Data Augmentation for Neural Machine Translation
- Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis
- Counterfactual Supporting Facts Extraction for Explainable Medical Record Based Diagnosis with Graph Network
- Graph Convolutional Networks for Event Causality Identification with Rich Document-level Structures
- Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation
- Causal Effects of Linguistic Properties
- Error Causal inference for Multi-Fusion models
- Enhancing Multiple-Choice Question Answering with Causal Knowledge
- Statistically Evaluating Social Media Sentiment Trends towards COVID-19 Non-Pharmaceutical Interventions with Event Studies
- Interventions Recommendation: Professionals’ Observations Analysis in Special Needs Education
- Discovering Topics in Long-tailed Corpora with Causal Intervention
- What if This Modified That? Syntactic Interventions with Counterfactual Embeddings
- Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement
- Empowering Language Understanding with Counterfactual Reasoning
- Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions?
- John praised Mary because _he_? Implicit Causality Bias and Its Interaction with Explicit Cues in LMs
- Susan Athey
- David M. Blei
- Cristian Danescu-Niculescu-Mizil
- Bernhard Schölkopf
- Aron Culotta
- Amir Feder
- Jacob Eisenstein
- Dhanya Sridhar
- Brandon Stewart
- Justine Zhang
- First Workshop on Causal Inference & NLP
- 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
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Keywords
causality
4
causal-inference
4
machine-learning
3
deep-learning
2
recommender-system
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natural-language-processing
1
awesome
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baselines
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causality-algorithms
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causality-analysis
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learning-to-rank
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multilabel-classification
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unconfoundedness-assumption
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causal-discovery
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causal-learning
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causal-models
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counterfactual
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counterfactual-learning
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estimating-treatment-effects
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heterogeneous-treatment-effects
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paper-list
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randomized-controlled-trials
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representation-learning
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treatment-effects
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reference
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artificial-intelligence
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