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        <namePart type="given">Ya-Yun</namePart>
        <namePart type="family">Huang</namePart>
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        <namePart type="given">Chia-Hui</namePart>
        <namePart type="family">Chang</namePart>
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    <name type="personal">
        <namePart type="given">Chien-Lung</namePart>
        <namePart type="family">Chou</namePart>
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            <namePart type="family">Chen</namePart>
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        <name type="personal">
            <namePart type="given">Hsin-Min</namePart>
            <namePart type="family">Wang</namePart>
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            <namePart type="given">Jen-Tzung</namePart>
            <namePart type="family">Chien</namePart>
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            <publisher>The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)</publisher>
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%0 Conference Proceedings
%T 基於已知名稱搜尋結果的網路實體辨識模型建立工具(A Tool for Web NER Model Generation Using Search Snippets of Known Entities) [In Chinese]
%A Huang, Ya-Yun
%A Chang, Chia-Hui
%A Chou, Chien-Lung
%Y Chen, Sin-Horng
%Y Wang, Hsin-Min
%Y Chien, Jen-Tzung
%S Proceedings of the 27th Conference on Computational Linguistics and Speech Processing (ROCLING 2015)
%D 2015
%8 October
%I The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
%C Hsinchu, Taiwan
%F huang-etal-2015-ji
%U https://aclanthology.org/O15-1015/
%P 148-163

Markdown (Informal)

[基於已知名稱搜尋結果的網路實體辨識模型建立工具(A Tool for Web NER Model Generation Using Search Snippets of Known Entities) [In Chinese]](https://aclanthology.org/O15-1015/) (Huang et al., ROCLING 2015)

• 基於已知名稱搜尋結果的網路實體辨識模型建立工具(A Tool for Web NER Model Generation Using Search Snippets of Known Entities) [In Chinese] (Huang et al., ROCLING 2015)

ACL

• Ya-Yun Huang, Chia-Hui Chang, and Chien-Lung Chou. 2015. 基於已知名稱搜尋結果的網路實體辨識模型建立工具(A Tool for Web NER Model Generation Using Search Snippets of Known Entities) [In Chinese]. In Proceedings of the 27th Conference on Computational Linguistics and Speech Processing (ROCLING 2015), pages 148–163, Hsinchu, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).