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發佈日期 2019-05-02
公告標題 1080513專班seminar演講資訊
詳細內容

時間:108年05月13日(星期一)
地點:大仁樓200301教室
主持人:張宏慶老師
演講者:政治大學資訊科學系 黃瀚萱 助理教授

演講題目:Deep Learning and Low Resource Natural Language Understanding
演講摘要:Neural network-based models improve the performances of many
          NLP tasks in these years. Learning-based models rely on labeled
          data for training and testing. However, one of the major challenges
          of advanced NLP tasks is the lack of labeled data, and it is costly
          and time-consuming to construct the data by manual annotation.
          This talk introduces our recent work on low-resource natural language
          understanding, including the tasks of Chinese tense prediction,
          irony detection, structure information analysis, and stance detection.
          Based on the property of individual task, we present a strategy to
          address the issue of data sparsity. The approaches such as cross-lingual
          transfer learning and self-labeled data pruning will be discussed.