Wikispeedia: an online game for inferring semantic distances between concepts
R. West, J. Pineau, and D. Precup. Proceedings of the 21st international jont conference on Artifical intelligence, page 1598--1603. San Francisco, CA, USA, Morgan Kaufmann Publishers Inc., (2009)
Abstract
Computing the semantic distance between realworld concepts is crucial for many intelligent applications. We present a novel method that leverages data from 'Wikispeedia', an online game played on Wikipedia; players have to reach an article from another, unrelated article, only by clicking links in the articles encountered. In order to automatically infer semantic distances between everyday concepts, our method effectively extracts the common sense displayed by humans during play, and is thus more desirable, from a cognitive point of view, than purely corpus-based methods. We show that our method significantly outperforms Latent Semantic Analysis in a psychometric evaluation of the quality of learned semantic distances.
%0 Conference Paper
%1 West2009
%A West, Robert
%A Pineau, Joelle
%A Precup, Doina
%B Proceedings of the 21st international jont conference on Artifical intelligence
%C San Francisco, CA, USA
%D 2009
%I Morgan Kaufmann Publishers Inc.
%K wikisempaths
%P 1598--1603
%T Wikispeedia: an online game for inferring semantic distances between concepts
%U http://dl.acm.org/citation.cfm?id=1661445.1661702
%X Computing the semantic distance between realworld concepts is crucial for many intelligent applications. We present a novel method that leverages data from 'Wikispeedia', an online game played on Wikipedia; players have to reach an article from another, unrelated article, only by clicking links in the articles encountered. In order to automatically infer semantic distances between everyday concepts, our method effectively extracts the common sense displayed by humans during play, and is thus more desirable, from a cognitive point of view, than purely corpus-based methods. We show that our method significantly outperforms Latent Semantic Analysis in a psychometric evaluation of the quality of learned semantic distances.
@inproceedings{West2009,
abstract = {Computing the semantic distance between realworld concepts is crucial for many intelligent applications. We present a novel method that leverages data from 'Wikispeedia', an online game played on Wikipedia; players have to reach an article from another, unrelated article, only by clicking links in the articles encountered. In order to automatically infer semantic distances between everyday concepts, our method effectively extracts the common sense displayed by humans during play, and is thus more desirable, from a cognitive point of view, than purely corpus-based methods. We show that our method significantly outperforms Latent Semantic Analysis in a psychometric evaluation of the quality of learned semantic distances.},
acmid = {1661702},
added-at = {2012-09-03T15:11:52.000+0200},
address = {San Francisco, CA, USA},
author = {West, Robert and Pineau, Joelle and Precup, Doina},
biburl = {https://www.bibsonomy.org/bibtex/2650cbc558eb7dedff546cdc16033707e/psinger},
booktitle = {Proceedings of the 21st international jont conference on Artifical intelligence},
description = {Wikispeedia},
interhash = {fc6cba2420ca9c6d0b82f602a07255cd},
intrahash = {650cbc558eb7dedff546cdc16033707e},
keywords = {wikisempaths},
location = {Pasadena, California, USA},
numpages = {6},
pages = {1598--1603},
publisher = {Morgan Kaufmann Publishers Inc.},
series = {IJCAI'09},
timestamp = {2012-09-19T11:17:09.000+0200},
title = {Wikispeedia: an online game for inferring semantic distances between concepts},
url = {http://dl.acm.org/citation.cfm?id=1661445.1661702},
year = 2009
}