causaltext / causal-text-papersLinks
Curated research at the intersection of causal inference and natural language processing.
☆811Updated 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)☆677Updated 6 months ago
- Pytorch implementation of "Adapting Text Embeddings for Causal Inference"☆92Updated 3 years ago
- Papers on fairness in NLP☆451Updated last year
- Package for computing causal effects of text (as treatment)☆72Updated 3 years ago
- Topic Modeling in Embedding Spaces☆560Updated 2 years ago
- CausalNLP is a practical toolkit for causal inference with text as treatment, outcome, or "controlled-for" variable.☆154Updated 10 months ago
- Must-read papers and resources related to causal inference and machine (deep) learning☆743Updated 3 years ago
- A data index for learning causality.☆480Updated 2 years ago
- Tensorflow 2 implementation of Causal-BERT☆74Updated 2 years ago
- A reading list of up-to-date papers on NLP for Social Good.☆304Updated 2 years ago
- A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coher…☆1,253Updated 4 months ago
- OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)☆793Updated 2 weeks ago
- We introduce a novel fine-grained causal reasoning dataset and present a series of novel tasks in NLP, from causality detection to event …☆15Updated 3 years ago
- A package to run embedded topic modelling with ETM. Adapted from the original at: https://github.com/adjidieng/ETM☆96Updated 2 years ago
- covid-19 rumor☆41Updated 4 years ago
- Official resource of the paper "Knowledge Enhanced Masked Language Model for Stance Detection", NAACL 2021☆39Updated 4 years ago
- Schedule and Syllabus for Human-Centered Machine learning.☆186Updated 2 years ago
- Implementation of Dynamic Embedding Topic Modeling on arxiv.org articles☆21Updated 3 years ago
- ☆139Updated 4 years ago
- Short tutorials on the use of machine learning methods for causal inference☆49Updated 3 years ago
- Flexible calculation of moral foundation scores from textual input data based on word embedding methods.☆46Updated 2 years ago
- Resources related to causality☆266Updated last year
- A list of publications on NLP interpretability (Welcome PR)☆168Updated 5 years ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆340Updated last year
- A Python implementation for Structural Topic Modeling☆46Updated 3 years ago
- Code for InfoCTM: A Mutual Information Maximization Perspective of Cross-lingual Topic Modeling (AAAI2023)☆25Updated last year
- ☆21Updated 4 years ago
- Aligned Neural Topic Model (ANTM) for Exploring Evolving Topics: a dynamic neural topic model that uses document embeddings (data2vec) to…☆37Updated 2 years ago
- Paper List for Contrastive Learning for Natural Language Processing☆570Updated 2 years ago
- Repository for TweetEval☆389Updated 3 years ago