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マイクロタスク型クラウドソーシングプラットフォーム環境における精度向上手法の導入と評価
https://uec.repo.nii.ac.jp/records/9062
https://uec.repo.nii.ac.jp/records/906204162953-54d9-43f3-b286-80936840b470
名前 / ファイル | ライセンス | アクション |
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29_29_503 (2.0 MB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2019-04-04 | |||||
タイトル | ||||||
言語 | ja | |||||
タイトル | マイクロタスク型クラウドソーシングプラットフォーム環境における精度向上手法の導入と評価 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Development and Evaluation of Quality Control Methods in a Microtask Crowdsourcing Platform | |||||
言語 | ||||||
言語 | jpn | |||||
キーワード | ||||||
言語 | en | |||||
主題 | crowdsourcing | |||||
キーワード | ||||||
言語 | en | |||||
主題 | quality control | |||||
キーワード | ||||||
言語 | en | |||||
主題 | worker control | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
著者 |
芦川, 将之
× 芦川, 将之× 川村, 隆浩× 大須賀, 昭彦 |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Open Crowdsourcing platforms like Amazon Mechanical Turk provide an attractive solution for process of high volume tasks with low costs. However problems of quality control is still of major interest. In this paper, we design a private crowdsourcing system, where we can devise methods for the quality control. For the quality control, we introduce four worker selection methods, each of which we call preprocessing filtering, real-time filtering, post processing filtering, and guess processing filtering. These methods include a novel approach, which utilizes a collaborative filtering technique in addition to a basic approach of initial training or gold standard data. For an use case, we have built a very large dictionary, which is necessary for Large Vocabulary Continuous Speech Recognition and Text-to-Speech. We show how the system yields high quality results for some difficult tasks of word extraction, part-of-speech tagging, and pronunciation prediction to build a large dictionary. | |||||
書誌情報 |
ja : 人工知能学会論文誌 en : Transactions of the Japanese Society for Artificial Intelligence 巻 29, 号 6, p. 503-515, 発行日 2014-11-01 |
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出版者 | ||||||
出版者 | 人工知能学会 | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1346-0714 | |||||
DOI | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | DOI | |||||
関連識別子 | 10.1527/tjsai.29.503 | |||||
権利 | ||||||
権利情報 | Copyright © 人工知能学会 2014 | |||||
関連サイト | ||||||
識別子タイプ | DOI | |||||
関連識別子 | https://doi.org/10.1527/tjsai.29.503 | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 |