# Watsonsim: Overview of a Question Answering Engine

Source: [Watsonsim: Overview of a Question Answering Engine](<https://www.sota2.com/research/paper/68fa619e1e209131ce9f5308>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-27T05:48:55.948Z

Authors: Sean Gallagher, Wlodek Zadrozny, Walid Shalaby, Adarsh Avadhani

Published: 2014-12-02T12:15:18.000Z

## Abstract

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.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/1412.0879>)

[PDF](<https://arxiv.org/pdf/1412.0879.pdf>)