Blar i HVL Open på forfatter "Shao, Yinan"

Viser treff 1-4 av 4

    • BILU-NEMH: A BILU neural-encoded mention hypergraph for mention extraction 

      Lin, Chun Wei; Shao, Yinan; Fournier-Viger, Philippe; Hamido, Fujita (Peer reviewed; Journal article, 2019)
      The natural language processing (NLP) denotes a technique used to process data such as text and speech. Some of the fundamental research in NLP includes the named entity recognition, which recognizes the named entities ...

    • Enhanced sequence labeling based on latent variable conditional random fields 

      Lin, Jerry Chun-Wei; Shao, Yinan; Zhang, Ji; Yun, Unil (Journal article; Peer reviewed, 2020)
      Natural language processing is a useful processing technique of language data, such as text and speech. Sequence labeling represents the upstream task of many natural language processing tasks, such as machine translation, ...

    • Maintenance of discovered high average-utility itemsets in dynamic databases 

      Zhang, Binbin; Lin, Jerry Chun-Wei; Shao, Yinan; Fournier-Viger, Philippe; Djenouri, Youcef (Journal article; Peer reviewed, 2018)
      High-utility itemset mining (HUIM) is an extension of traditional frequent itemset mining, which considers both quantities and unit profits of items in a database to reveal highly profitable itemsets regardless of their ...

    • Self-attention-based conditional random fields latent variables model for sequence labeling 

      Shao, Yinan; Lin, Jerry Chun-Wei; Srivastava, Gautam; Jolfaei, Alireza; Guo, Dongdong; Hu, Yi (Peer reviewed; Journal article, 2021)
      To process data like text and speech, Natural Language Processing (NLP) is a valuable tool. As on of NLP’s upstream tasks, sequence labeling is a vital part of NLP through techniques like text classification, machine ...