Skip to content

benbogin/glt-grounded-latent-trees-qa

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Grounded Latent Trees for Visual Question Answering

This repository contains the code associated with the paper Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering, published in TACL (2020).

Setup

  1. Install all requirements
pip install -r requirements.txt

Arithmetic Dataset

  1. Run with this AllenNLP command:
allennlp train train_configs/glt_arithmetic.jsonnet -s experiments/experiment_name --include-package src

CLEVR / CLOSURE Dataset

  1. Download CLEVR image features + preprocessed data (image features are extracted with py-bottom-up-attention) into the data directory.

  2. Run with this AllenNLP command:

allennlp train train_configs/glt_clevr.jsonnet -s experiments/experiment_name --include-package src

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published