A collection of code written for compositional distributional semantics. Features include:
- Creating vector embeddings from a corpus (co-occurrence, word2vec, GloVe, FastText)
- Creating tensor embeddings from a corpus
- Running experiments on a number of datasets for evaluating composition models
Little note: this repository contains slightly modified versions of the InferSent repository (here) and the Skip-Thoughts repository (here)