Firstly, I turned questions and paragraphs into an entity graph where each entity and sentence is a node. Secondly, I applied the graph recurrent network to extract global context information for embedding update. Thirdly, I predicted entities that are most relevant to the current question and built an answer based on these entities.
Presentation in lab to show the important models for CoQA task and explain my original multi-hop QA model