acl acl2013 acl2013-265 acl2013-265-reference knowledge-graph by maker-knowledge-mining

265 acl-2013-Outsourcing FrameNet to the Crowd


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Author: Marco Fossati ; Claudio Giuliano ; Sara Tonelli

Abstract: We present the first attempt to perform full FrameNet annotation with crowdsourcing techniques. We compare two approaches: the first one is the standard annotation methodology of lexical units and frame elements in two steps, while the second is a novel approach aimed at acquiring frames in a bottom-up fashion, starting from frame element annotation. We show that our methodology, relying on a single annotation step and on simplified role definitions, outperforms the standard one both in terms of accuracy and time.


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