Shypd.aiThe largest open index of AI toolsCausalNLP_Papers is an open-source reading list for papers on causality in natural language processing (NLP). It provides a comprehensive resource for researchers and practitioners in the field.
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CausalNLP_Papers is a curated, open-source reading list hosted on GitHub, dedicated to papers exploring causality within natural language processing (NLP). This repository serves as an invaluable resource for researchers, academics, and practitioners seeking to understand and apply causal inference methods to NLP problems. It categorizes papers into sections such as Causality Basics, Causality Applied to General NLP, and Causality for Various Applications, including persuasion, psychology, economics, and healthcare. The list also features toolboxes for causal discovery and effect estimation, as well as resources from prominent labs like Schoelkopf's and Bengio's, making it a comprehensive guide for systematic learning and exploration in causal NLP.
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