DATA ANNOTATION METHOD AND SYSTEM BASED ON DATA MINING AND CROWDSOURCING

作者: Xinyu Yang , 杨新宇 , 邱楠 , 王昊奋 , Nan Qiu

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摘要: A data annotation method based on mining and crowdsourcing, comprising: acquiring raw to be annotated (S101); performing classification crowdsourcing distribution the by using an integrated algorithm (S102); a result automatic review same algorithm, filtering marking questionable (S103); outputting that has gone through review, including (S104). Questionable results having possible problems are searched for found from among all of results, marked facilitate reviewing modifications thereof, thereby significantly facilitating finding increasing quality outputted results. The organically combines technique platforms, thus enabling massive amount accurately generated costs effectively reduced at time.

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