With the advent of the increasingly participatory Internet and the growing power of\u00a0 the crowd, \u201cSerious Games\u201d have proven to be a fertile approach for gathering task-specific\u00a0natural language data at very low cost. In this paper we outline a game we call Doodling,\u00a0based on the sketch-and convey metaphor used in the popular board game Pictionary\u00ae 2,\u00a0with the goal of generating useful natural language data. We explore whether such a\u00a0paradigm can be successfully extended for conveying more complex syntactic and\u00a0semantic constructs than the words or short phrases typically used in the board game. Through a series of user experiments, we show that this is indeed the case, and that valuable parallel language data may be produced as a byproduct. In addition, we explore extensions to this paradigm along two axes \u2013 going online (vs. face-to-face) and going crosslingual. The results in each of the sets of experiments confirm the potential of Doodling game to generate data in large quantities and across languages, and thus provide a new means of developing data sets and technologies for resource-poor languages.<\/p>\n","protected":false},"excerpt":{"rendered":"
With the advent of the increasingly participatory Internet and the growing power of\u00a0 the crowd, \u201cSerious Games\u201d have proven to be a fertile approach for gathering task-specific\u00a0natural language data at very low cost. In this paper we outline a game we call Doodling,\u00a0based on the sketch-and convey metaphor used in the popular board game Pictionary\u00ae […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13551,13545],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-437154","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-graphics-and-multimedia","msr-research-area-human-language-technologies","msr-locale-en_us"],"msr_publishername":"AAAI 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