Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond

Cited by (222)

Items 101–200 of 222

  1. Text-Based Causal Inference on Irony and Sarcasm Detection
    Recep Fırat Çekinel, Pınar Karagöz · 2022 · Lecture notes in computer science
  2. GGNN@Causal News Corpus 2022:Gated Graph Neural Networks for Causal Event Classification from Social-Political News Articles
    Paul Trust, Rosane Minghim, Evangelos Milos, Kadusabe Provia · 2022 · Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE)
  3. Causal Inference from Text: Unveiling Interactions between Variables
    Yuxiang Zhou, Yulan He · 2023 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
  4. Implications of Minimum Description Length for Adversarial Attack in Natural Language Processing
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    Yingxiu Zhao, Bowen Yu, Bowen Li, Haiyang Yu, Jinyang Li, Chao Wang, Fei Huang, Yongbin Li, Nevin Lianwen Zhang · 2023 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
  6. Causal Inference-Enhanced UAV Detection and Identification for Low-Altitude Air City Transport
    Naixin Chen, Lei Chen, Zhen Gao, Chunli Zhu · 2025 · IEEE Transactions on Intelligent Transportation Systems
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    Наталія Леонідівна Юган, Yuliia Herasymenko, Oleksandra Deichakivska, Анжеліка Костянтинівна Солодка, Євген Козлов · 2024 · Data & Metadata
  8. Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language Understanding
    Ukyo Honda, Tatsushi Oka, Peinan Zhang, Masato Mita · 2024 · Transactions of the Association for Computational Linguistics
  9. Natural language processing for scalable feature engineering and ultra-high-dimensional confounding adjustment in healthcare database studies
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  10. Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery
    Yuni Susanti, Michael Färber · 2025 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
  11. Affective Idiosyncratic Responses to Music
    Sky CH-Wang, Evan Li, Oliver Li, Smaranda Muresan, Yu Zhou · 2022 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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  13. Modeling correlated causal-effect structure with a hypergraph for document-level event causality identification
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  14. Unsupervised Machine Translation Based on Dynamic Adaptive Masking Strategy and Multi-Task Learning
    Chuancai Zhang, Dan Qu, Liming Du, Kaiyuan Yang · 2024 · International Conference on Image Processing, Machine Learning and Pattern Recognition (IPMLPR)
  15. CaM-Gen: Causally Aware Metric-Guided Text Generation
    Navita Goyal, Roodram Paneri, Ayush Agarwal, Udit Kalani, Abhilasha Sancheti, Niyati Chhaya · 2022 · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
  16. From Text Signals to Simulations: A Review and Complement to Text as Data by Grimmer, Roberts & Stewart (PUP 2022)
    James A. Evans · 2022 · Sociological Methods & Research
  17. Measuring Consistency in Text-based Financial Forecasting Models
    Linyi Yang, Yingpeng Ma, Yue Zhang · 2023 · Proceedings of the conference - Association for Computational Linguistics. Meeting
  18. 2SCE-4SL: a 2-stage causality extraction framework for scientific literature
    Y.S. Zhang, Rujiang Bai, Ling Kong, Xiaoyue Wang · 2023 · Scientometrics
  19. A Diachronic Analysis of Paradigm Shifts in NLP Research: When, How, and Why?
    Aniket Pramanick, Yufang Hou, Saif M. Mohammad, Iryna Gurevych · 2023 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
  20. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts
    2022
  21. GPT-PACK: Can GenAI act as TPACK Peer Tutor for Preservice Teachers? A Comparative Study on Objective TPACK of Humans and ChatGPT 3.5
    Ferdi Çelık, Ceylan Yangın Ersanlı, Aaron Drummond · 2023 · Research Square
  22. Annotating publicly-available samples and studies using interpretable modeling of unstructured metadata
    Hao Yuan, Parker Hicks, Mansooreh Ahmadian, Kayla A Johnson, Lydia Valtadoros, Arjun Krishnan · 2024 · Briefings in Bioinformatics
  23. Causal analysis of ASR errors for children: Quantifying the impact of physiological, cognitive, and extrinsic factors
    Vishwanath Pratap Singh, Md Sahidullah, Tomi Kinnunen · 2025 · Computer Speech & Language
  24. AuraESG: A cognitive architecture for auditable ESG analysis through knowledge-infused causal reasoning and hybrid deliberation
    Zuoshen Zhou, Shanxue Gao, Ziqi Wang · 2026 · Information Sciences
  25. CPG-LS: Causal Perception Guided Linguistic Steganography
    Lingyun Xiang, Jiali Xia, Yangfan Liu, Yan Gui · 2023 · IEEE Signal Processing Letters
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  28. A Robust Information-Masking Approach for Domain Counterfactual Generation
    Pengfei Hong, Rishabh Bhardwaj, Navonil Majumder, Somak Aditya, Soujanya Poria · 2023 · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
  29. ARGUABLY @ Causal News Corpus 2022: Contextually Augmented Language Models for Event Causality Identification
    Guneet Singh Kohli, Prabsimran Kaur, Jatin Bedi · 2022 · Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE)
  30. Examining the Causal Impact of First Names on Language Models: The Case of Social Commonsense Reasoning
    Sullam Jeoung, Jana Diesner, Halil Kilicoglu B · 2023 · Workshop on Trustworthy Natural Language Processing (TrustNLP)
  31. It’s not only What You Say, It’s also Who It’s Said to: Counterfactual Analysis of Interactive Behavior in the Courtroom
    Biaoyan Fang, Trevor Cohn, Timothy Baldwin, Lea Frermann · 2023 · International Joint Conference on Natural Language Processing and Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL)
  32. Two-Stage Compliance Detection for Power Enterprises Based on NLI and LLM
    Min Hua, Qi Zhao, Jiale Song, Xue‐song Tang · 2024 · IEEE International Symposium on Product Compliance Engineering - Asia (ISPCE-ASIA)
  33. Enhancing Medical Diagnosis with Fine-Tuned Large Language Models: Addressing Cardiogenic Pulmonary Edema (CPE)
    Yen‐Jung Chiu, Chao-Chun Chuang, Kuo‐Yuan Hwa · 2024 · International Conference on Biomedical and Bioinformatics Engineering (ICBBE)
  34. CSCE: Boosting LLM Reasoning by Simultaneous Enhancing of Causal Significance and Consistency
    Kangsheng Wang, Xiao Zhang, Juntao Lyu, Tianyu Hu, Huimin Ma · 2025 · IEEE International Conference on Multimedia and Expo (ICME)
  35. Underspecification in Language Modeling Tasks: A Causality-Informed Study of Gendered Pronoun Resolution
    Emily McMilin · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
  36. More than Votes? Voting and Language based Partisanship in the US Supreme Court
    Biaoyan Fang, Trevor Cohn, Timothy Baldwin, Lea Frermann · 2023 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
  37. Conditional Topic Allocations for Open-Ended Survey Responses
    Tobias Wekhof · 2022 · SSRN Electronic Journal
  38. Using AI for Controllable Stimuli Generation: An Application to Gender Discrimination with Faces
    Lan Luo, Olivier Toubia · 2024 · SSRN Electronic Journal
  39. Data and Methods
    Daniel Naurin, Urška Šadl, Jan Zglinski · 2026 · Cambridge University Press eBooks
  40. STRICTA: Structured Reasoning in Critical Text Assessment for Peer Review and Beyond
    Dycke, Nils, Zečević, Matej, Kuznetsov, Ilia, Suess, Beatrix, Kersting, Kristian, Gurevych, Iryna · 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  41. Causal MRC: Mitigating Position Bias Based on Causal Graph
    Jiazheng Zhu, Linjuan Wu, Shaojuan Wu, Xiaowang Zhang, Yuexian Hou, Zhiyong Feng · 2023 · Lecture notes in computer science
  42. CReTIHC: Designing Causal Reasoning Tasks about Temporal Interventions and Hallucinated Confoundings
    Changwoo Chun, SongEun Lee, Jaehyung Seo, Heuiseok Lim · 2023 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
  43. Leverage Causal Graphs and Rumor-Refuting Texts for Interpretable Rumor Analysis
    Jiawen Huang, Donglin Cao, Dazhen Lin · 2024 · IEEE International Conference on Acoustics Speech and Signal Processing
  44. CURRENT TRENDS IN NATURAL LANGUAGE PROCESSING APPLICATION AND ITS APPLICATIONS IN IMPROVING THE QUALITY OF TOURISM COMMUNICATION
    Faisal N. Alhajri · 2024 · International Journal for Quality Research
  45. Estimating textual treatment effect via causal disentangled representation learning
    Zhimi Yang, Bo Shen · 2025 · The Journal of Supercomputing
  46. Visual Commonsense Causal Reasoning From a Still Image
    Xiaojing Wu, Rui Guo, Qin Li, Ning Zhu · 2025 · IEEE Access
  47. IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE FOR PERSONALIZATION EDUCATION TRACKS IN TERTIARY EDUCATION
    N.V. Safonova, Valery Mykhailenko · 2025 · Innovate Pedagogy
  48. CREST: A causal framework for mitigating shortcut learning in language models through counterfactual reasoning
    Zhonghua Liu, Wei Shao, E. Shaolong, Xia Cao · 2025 · Information Processing & Management
  49. Counterfactual Explanation-Based Cryptocurrency Price Prediction
    Xinxin Luo, Wei Yin · 2026 · Entropy
  50. Evaluating ChatGPT’s TPACK performance: a more knowledgeable other for teacher training
    Ferdi Çelik, Aaron Drummond, Ceylan Yangın Ersanlı, Volkan Duran, Hamed Barjesteh · 2026 · Telematics and Informatics Reports
  51. Causal discovery by continuous optimization with weighted superstructure
    Mingjie Chen, Yewei Xia, Hao Zhang, Ruxin Wang, Yuzhong Peng, Jihong Guan, Shubo Zhou · 2026 · Neural Networks
  52. Designing Computational Tools for Exploring Causal Relationships in Qualitative Data
    Han Meng, Qiuyuan Lyu, Peinuan Qin, Yitian Yang, Renwen Zhang, Wen-Chieh Lin, Yi‐Chieh Lee · 2026 · CHI Conference on Human Factors in Computing Systems
  53. CAuSE: Decoding Multimodal Classifiers using Faithful Natural Language Explanation
    Dibyanayan Bandyopadhyay, Soham Bhattacharjee, Mohammed Hasanuzzaman, Asif Ekbal · 2026 · Transactions of the Association for Computational Linguistics
  54. Explaining transformer-based holistic automated essay scoring: Interpretable analysis of internal representations and decision-proximal features
    Lingchen Kong, Jinnie Shin · 2026 · Research Methods in Applied Linguistics
  55. CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation
    Rahul Madhavan, Rishabh Garg, Kahini Wadhawan, Sameep Mehta · 2023 · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
  56. Incorporating Regional Brain Connectivity Profiles into the Inference of Exposure-Related Neurobehavioral Burden in Explosive Ordnance Disposal Veterans
    Jeffrey Page, Hyuk Oh, Thomas K. Chacko, Immanuel Babu Henry Samuel, Calvin Lu, Robert D. Forsten, Matthew J. Reinhard, Michelle E. Costanzo, Gordon Broderick · 2024 · Lecture notes in computer science
  57. CauseTerML: Causal Learning via Term Mining for Assessing Review Discrepancies
    Wenjie Sun, Wu Chengke, Qinge Xiao, Junjie Jiang, Yuanjun Guo, Ying Bi, Xinyu Wu, Zhile Yang · 2024 · IEEE Transactions on Artificial Intelligence
  58. A framework for characterising the hows and whens of social media communication during crises
    Antonela Tommasel · 2025 · Journal of Information Science
  59. Causal Domain Adaptation for Information Extraction from Complex Conversations
    Xue Li · 2022 · Lecture notes in computer science
  60. Theory-Grounded Computational Text Analysis
    Arya D. McCarthy, Giovanna Maria Dora Dore · 2023 · Proceedings of the conference - Association for Computational Linguistics. Meeting
  61. An Invariant Learning Characterization of Controlled Text Generation
    Carolina Zheng, Claudia Shi, Keyon Vafa, Amir Feder, David M. Blei · 2023 · Proceedings of the conference - Association for Computational Linguistics. Meeting
  62. CausalNLP Tutorial: An Introduction to Causality for Natural Language Processing
    Zhijing Jin, Amir Feder, Kun Zhang · 2022
  63. IDOS: A Unified Debiasing Method via Word Shuffling
    Yuanhang Tang, Yawen Ouyang, Zhen Wu, Baohua Zhang, Jiaying Zhang, Xinyu Dai · 2023 · Lecture notes in computer science
  64. Continual Causal Effect Estimation
    Zhixuan Chu, Stephen L. Rathbun, Sheng Li · 2023 · Springer eBooks
  65. Words That Matter: Analyzing the Causal Effect of Words
    Alain Lemaire, Mingzhang Yin, Oded Netzer · 2025 · SSRN Electronic Journal
  66. Causally Estimating the Sensitivity of Neural NLP Models to Spurious Features
    Yunxiang Zhang, Liangming Pan, Samson Tan, Min‐Yen Kan · 2021 · arXiv (Cornell University)
  67. Is there a slowdown in research productivity? Evidence from China and Germany
    OECD · 2023 · OECD eBooks
  68. AI in drug discovery
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  69. Semantic Context and Attention-driven Framework for Predicting Visual Description Utilizing a Deep Neural Network and Natural Language Processing
    K. Annapoorneshwari Shetty, Subrahmanya Bhat · 2023 · International Journal of Case Studies in Business IT and Education
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    Victoria Lin, Louis‐Philippe Morency · 2023 · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
  71. Status Biases in Deliberation Online: Evidence from a Randomized Experiment on ChangeMyView
    Emaad Manzoor, Yohan Jo, Alan A. Montgomery · 2022 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
  72. Feature selection in text classification: Identifying spurious words with causal inference methods
    Zixuan Zhao, Hanyu Li, Jingke Chen, Yang Li, Jiayun Song · 2023 · Applied and Computational Engineering
  73. Reading Gokturkish text with the Yolo object detection algorithm
    Mevlut Karakaya, Sadberk Ersoy, Ahmet Feyzioğlu, Sezgin Ersoy · 2024 · Journal of Mechatronics and Artificial Intelligence in Engineering
  74. Advanced Attention for Causality Classification of Verb Nodes of Knowledge Graph
    Jiawei Fan, Xianghui Ren, Hao Zhang, Huisheng Ma, Xinlei Wei, Yifeng Yue · 2023 · International Conference on Algorithms, Computing and Systems (ICACS)
  75. Multimodal Rumor Detection with Causal Graph Attention Network
    Jiawen Huang, Donglin Cao, Dazhen Lin · 2023 · IEEE International Conference on Parallel and Distributed Systems (ICPADS)
  76. XLTU: A Cross-Lingual Model in Temporal Expression Extraction for Uyghur
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  89. Challenges and Opportunities in Causality Analysis Using Large Language Models
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