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    題名: Supervised Word Sense Disambiguation on Taiwan Hakka Polysemy with Neural Network Models: A Case Study of BUN, TUNG and LAU
    作者: 賴惠玲;劉吉軒
    Lai, Huei-Ling;Liu, Jyi-Shane
    Hsu, Hsiao-Ling;Lin, Chia-Hung;Chen, Yanhong
    貢獻者: 英文系
    關鍵詞: polysemy, word sense disambiguation, Taiwan Hakka, neural network models, CNN
    日期: 2021-11
    上傳時間: 2022-06-28 14:03:36 (UTC+8)
    摘要: This research aims to explore an optimal model for automatic word sense disambiguation for highly polysemous markers BUN, TUNG and LAU in Taiwan Hakka, a low-resource language. The performance of word sense disambiguation tasks is carried out by examining DNN, BiLSTM and CNN models under different window spans. The results show that the CNN model can achieve the best performance with a multiple sliding window of L2R2+ L3R3 and L5R5
    關聯: Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation, Shanghai International Studies University, pp.592~602
    資料類型: conference
    顯示於類別:[英國語文學系] 會議論文
    [資訊科學系] 會議論文

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