# Dr. Tux: A Question Answering System for Ubuntu users

Source: [Dr. Tux: A Question Answering System for Ubuntu users](<https://www.sota2.com/research/paper/68fa64bc1e209131cea0621e>)

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

Data updated: 2025-10-25T21:09:58.940Z

Authors: Bijil Abraham Philip, Manas Jog, Apurv Milind Upasani

Published: 2018-08-25T05:17:43.000Z

## Abstract

Various forums and question answering (Q&A) sites are available online that allow Ubuntu users to find results similar to their queries. However, searching for a result is often time consuming as it requires the user to find a specific problem instance relevant to his/her query from a large set of questions. In this paper, we present an automated question answering system for Ubuntu users called Dr. Tux that is designed to answer user's queries by selecting the most similar question from an online database. The prototype was implemented in Python and uses NLTK and CoreNLP tools for Natural Language Processing. The data for the prototype was taken from the AskUbuntu website which contains about 150k questions. The results obtained from the manual evaluation of the prototype were promising while also presenting some interesting opportunities for improvement.

## 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/1808.08357>)

[PDF](<https://arxiv.org/pdf/1808.08357.pdf>)