@article{jurgens-navigli-2014-fun,
    title = "It{'}s All Fun and Games until Someone Annotates: Video Games with a Purpose for Linguistic Annotation",
    author = "Jurgens, David  and
      Navigli, Roberto",
    editor = "Lin, Dekang  and
      Collins, Michael  and
      Lee, Lillian",
    journal = "Transactions of the Association for Computational Linguistics",
    volume = "2",
    year = "2014",
    address = "Cambridge, MA",
    publisher = "MIT Press",
    url = "https://preview.aclanthology.org/ingest-emnlp/Q14-1035/",
    doi = "10.1162/tacl_a_00195",
    pages = "449--464",
    abstract = "Annotated data is prerequisite for many NLP applications. Acquiring large-scale annotated corpora is a major bottleneck, requiring significant time and resources. Recent work has proposed turning annotation into a game to increase its appeal and lower its cost; however, current games are largely text-based and closely resemble traditional annotation tasks. We propose a new linguistic annotation paradigm that produces annotations from playing graphical video games. The effectiveness of this design is demonstrated using two video games: one to create a mapping from WordNet senses to images, and a second game that performs Word Sense Disambiguation. Both games produce accurate results. The first game yields annotation quality equal to that of experts and a cost reduction of 73{\%} over equivalent crowdsourcing; the second game provides a 16.3{\%} improvement in accuracy over current state-of-the-art sense disambiguation games with WordNet."
}