causaltext / causal-text-papers
Curated research at the intersection of causal inference and natural language processing.
☆798Updated last year
Alternatives and similar repositories for causal-text-papers
Users that are interested in causal-text-papers are comparing it to the libraries listed below
Sorting:
- A reading list for papers on causality for natural language processing (NLP)☆638Updated 3 weeks ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆710Updated 2 years ago
- A data index for learning causality.☆467Updated last year
- Papers on fairness in NLP☆441Updated last year
- CausalNLP is a practical toolkit for causal inference with text as treatment, outcome, or "controlled-for" variable.☆146Updated 3 months ago
- Resources related to causality☆262Updated last year
- Pytorch implementation of "Adapting Text Embeddings for Causal Inference"☆91Updated 3 years ago
- We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NU…☆516Updated 2 years ago
- Package for computing causal effects of text (as treatment)☆70Updated 3 years ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆324Updated 7 months ago
- Causal Discovery in Python. It also includes (conditional) independence tests and score functions.☆1,353Updated last month
- A (concise) curated list of awesome Causal Inference resources.☆233Updated 2 years ago
- Tensorflow 2 implementation of Causal-BERT☆71Updated last year
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,173Updated last year
- Software and data for "Using Text Embeddings for Causal Inference"☆124Updated 4 years ago
- A reading list of up-to-date papers on NLP for Social Good.☆301Updated last year
- Topic Modeling in Embedding Spaces☆556Updated last year
- Find text features that are most related to an outcome, controlling for confounds.☆60Updated 9 months ago
- A Python package for modular causal inference analysis and model evaluations☆775Updated last month
- A list of publications on NLP interpretability (Welcome PR)☆168Updated 4 years ago
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML☆762Updated 9 months ago
- Repository with code and slides for a tutorial on causal inference.☆575Updated 5 years ago
- Schedule and Syllabus for Human-Centered Machine learning.☆184Updated 2 years ago
- A curated list of awesome work on causal inference, particularly in machine learning.☆103Updated 4 years ago
- Short tutorials on the use of machine learning methods for causal inference☆49Updated 2 years ago
- An index of algorithms for learning causality with data☆3,136Updated 3 months ago
- OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)☆763Updated 9 months ago
- Code for the paper "Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias"☆77Updated 3 years ago
- A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coher…☆1,228Updated 3 months ago
- DoubleML - Double Machine Learning in Python☆587Updated this week