/awesome-causality-in-nlp

A curated list of causality in NLP. :-)

Awesome Causality in NLPAwesome

A curated list of causality in NLP. :-)

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Table of Contents

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

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