Explicable Question Answering

Question answering over Knowledge Graphs has emerged as an intuitive way of querying structured data sources and has witnessed significant progress over the years. However, there is still plenty of space for improvement and there exist specific challenges that are still far from being effectively solved. In this research project, we aim to address some of these challenges and provide innovative solutions in the field. Our research will mainly focus on deep learning approaches such as sequence to sequence models and ranking methods. We plan to contribute to the challenges of explicability and complex queries by further researching the areas and providing resources together with more robust models by using probabilistic methods and meta-learning approaches.