Watsonsim: Overview of a Question Answering Engine
arXiv:1412.0879v17 citationsHas Code
Originality Synthesis-oriented
AI Analysis
This is an incremental effort to create a publicly accessible QA system for trivia, with modest performance.
The project tackled the problem of building an open-source question answering system similar to Watson for Jeopardy questions, achieving 18% accuracy by the end of a semester.
The objective of the project is to design and run a system similar to Watson, designed to answer Jeopardy questions. In the course of a semester, we developed an open source question answering system using the Indri, Lucene, Bing and Google search engines, Apache UIMA, Open- and CoreNLP, and Weka among additional modules. By the end of the semester, we achieved 18% accuracy on Jeopardy questions, and work has not stopped since then.