This repository contains work done on Simple Question Answering over a Knowledge-Base by the University of Waterloo (DSG Group).
- https://github.com/zihangdai/cfo
- https://github.com/Gorov/SimpleQuestions-EntityLinking
- https://github.com/yinwenpeng/KBQA_IBM
- https://github.com/yinwenpeng/KBQA_IBM_New
- https://github.com/WDAqua/teafacto
- https://github.com/syxu828/QuestionAnsweringOverFB
- https://github.com/facebook/MemNN
- Conditional Focused Neural Question Answering with Large-scale Knowledge Bases
- Simple Question Answering by Attentive Convolutional Neural Network - SOTA results
- Character-Level Question Answering with Attention
- Neural Network-based Question Answering over Knowledge Graphs on Word and Character Level
- Simple and Effective Question Answering with Recurrent Neural Networks
- Improved Neural Relation Detection for Knowledge Base Question Answering - SOTA results
- Question Answering on Freebase via Relation Extraction and Textual Evidence
- Comparative Study of CNN and RNN for Natural Language Processing