Abstract
In this paper, we explore different strategies for implementing a crowdsourcing methodology for a single-step construction of an empirically-derived sense inventory and the corresponding sense-annotated corpus. We report on the crowdsourcing experiments using implementation strategies with different HIT costs, worker qualification testing, and locale restrictions. We describe multiple adjustments required to ensure successful HIT completion, given significant changes within the crowdsourcing community over the past three years.