ESemiCrowd - A Crowdsourcing Framework for Chinese NLP

碩士 === 國立臺灣大學 === 語言學研究所 === 105 === ESemiCrowd framework redefined crowdsourcing for Natural Language Processing by adding linguistic expert knowledge into annotation flow. Not only did the solution controlled the cost to remain at crowdsourcing level, but more importantly raise the data quality to...

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Bibliographic Details
Main Authors: Tzu-Yun Huang, 黃資勻
Other Authors: 謝舒凱
Format: Others
Language:en_US
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/2a38p3