Reversing The Twenty Questions Game

TL;DR

This paper introduces a reversed version of the twenty questions game where the computer randomly selects an entity and the human guesses it through natural language questions, utilizing a boolean question answering model.

Contribution

It proposes a novel reversed game setup and demonstrates the use of a boolean question answering model for human-computer interaction in this context.

Findings

Successful implementation of the reversed game concept

Effective parsing of natural language questions by the model

Potential for engaging human-computer guessing games

Abstract

Twenty questions is a widely popular verbal game. In recent years, many computerized versions of this game have been developed in which a user thinks of an entity and a computer attempts to guess this entity by asking a series of boolean-type (yes/no) questions. In this research, we aim to reverse this game by making the computer choose an entity at random. The human aims to guess this entity by quizzing the computer with natural language queries which the computer will then attempt to parse using a boolean question answering model. The game ends when the human is successfully able to guess the entity of the computer's choice.