arxiv: 1412.0879 · v1 · pith:UEEMJCZAnew · submitted 2014-12-02 · 💻 cs.CL · cs.IR

Watsonsim: Overview of a Question Answering Engine

Sean Gallagher , Wlodek Zadrozny , Walid Shalaby , Adarsh Avadhani This is my paper

classification 💻 cs.CL cs.IR

keywords answeringjeopardyquestionquestionssemestersystemaccuracyachieved

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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.

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Watsonsim: Overview of a Question Answering Engine

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