Validating and extending semantic knowledge bases using video games with a purpose
|Validating and extending semantic knowledge bases using video games with a purpose|
|Author(s)||Vannella D., Jurgens D., Scarfini D., Toscani D., Navigli R.|
|Published in||52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference|
|Keyword(s)||Unknown (Extra: Computational linguistics, Semantics, Cost-effective methods, Crowdsourcing, Game-Based, Knowledge basis, Semantic knowledge, Video game, Wikipedia, Wordnet, Interactive computer graphics)|
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Validating and extending semantic knowledge bases using video games with a purpose is a 2014 conference paper written in English by Vannella D., Jurgens D., Scarfini D., Toscani D., Navigli R. and published in 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference.
Large-scale knowledge bases are important assets in NLP. Frequently, such resources are constructed through automatic mergers of complementary resources, such as WordNet and Wikipedia. However, manually validating these resources is prohibitively expensive, even when using methods such as crowdsourcing. We propose a cost-effective method of validating and extending knowledge bases using video games with a purpose. Two video games were created to validate conceptconcept and concept-image relations. In experiments comparing with crowdsourcing, we show that video game-based validation consistently leads to higher-quality annotations, even when players are not compensated.
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