Tensorflow implementation of Relation Network (bAbI dataset)
-
Updated
May 1, 2019 - Python
Tensorflow implementation of Relation Network (bAbI dataset)
Experiments on Differentiable Neural Computer
Augmentation scripts for the bAbI Dialog Tasks dataset
Code for the paper "Improving Robustness of Dialog Systems in a Data-Efficient Way with Turn Dropout" by Igor Shalyminov and Sungjin Lee
Built the chatbot based on bAbI dataset using Keras
Fine tuning pre-trained transformer models in TensorFlow and in PyTorch for question answering
Use end-to-end memory networks architecture for Question & Answering NLP system
Deep learning model that extracts answer from two sentences.
Project work related to Applied AI Workshop Workshop at UT Dallas
In this project I've worked with the Babi Data Set from Facebook Research to create a chatbot using state of the art end to end neural network which takes a story and Query as input. The Output generated by the bot is either 'Yes' or 'No' based on the query.
Add a description, image, and links to the babi-dataset topic page so that developers can more easily learn about it.
To associate your repository with the babi-dataset topic, visit your repo's landing page and select "manage topics."