Do it yourself (DIY) Jeopardy Question Answering System

This work demonstrates Treo, a framework which converges elements from Natural Language Processing, Semantic Web, Information Retrieval and Databases, to create a semantic search engine and question answering (QA) system for heterogeneous data. Jeopardy and Question Answering queries over open domain structured and unstructured data are used to demonstrate the approach. In this work, Treo is extended to cope with unstructured data in addition to structured data. The setup of the framework is done in 3 steps and can be adapted to other datasets by practitioners in a simple DIY process.