This repo contains the tensorflow implementation of the paper "Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks".
- TensorFlow <= 0.12
I have set up training with most default params on a very small dataset so that it is easier to get started. Just running the script should work.
/bin/bash run.sh ./config.sh
The processed data (train/dev/test split) is stored in data_formatted/ directory. To download the KB files used for the project run,
sh get_data.sh
After downloading the data, you will have to change the appropriate entries in the config.sh file (kb_file and text_kb_file).
We are also releasing the output predictions of our model for comparison. Find them in the model_outputs directory.
We are also sharing our pretrained model. Get it here