CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior

This repository provides implementations of Skip-gram and SVD word embedding models, and demonstrates their use in an RNN (LSTM) classification task on a news dataset.

This repository contains implementations of ELMo (Embeddings from Language Models) models trained on a news dataset. Additionally, it includes a classification task using ELMo embeddings.