Declarative Question Answering over Knowledge Bases containing Natural Language Text with Answer Set Programming

Understand

While in recent years machine learning (ML) based approaches have been the popular approach in developing end-to-end question answering systems, such systems often struggle when additional knowledge is needed to correctly answer the questions.

• Proposed alternatives involve translating the question and the natural language text to a logical representation and then use logical reasoning.
• However, this alternative falters when the size of the text gets bigger.
• To address this we propose an approach that does logical reasoning over premises written in natural language text.