中文醫療健康照護知識庫建置與應用(2/3)

研究成果

每年研究成果 2020 2021 2021

• 7 會議論文篇章
• 1 期刊論文

每年研究成果

每年研究成果

搜尋結果

• 2021

  Classification of Tweets Self-reporting Adverse Pregnancy Outcomes and Potential COVID-19 Cases Using RoBERTa Transformers

  Lee, L. H., Hung, M. C., Lu, C. H., Chen, C. H., Lee, P. L. & Shyu, K. K., 2021, Social Media Mining for Health, SMM4H 2021 - Proceedings of the 6th Workshop and Shared Tasks. Magge, A., Klein, A. Z., Miranda-Escalada, A., Al-garadi, M. A., Alimova, I., Miftahutdinov, Z., Farre-Maduell, E., Lopez, S. L., Flores, I., O'Connor, K., Weissenbacher, D., Tutubalina, E., Sarker, A., Banda, J. M., Krallinger, M. & Gonzalez-Hernandez, G. (編輯). Association for Computational Linguistics (ACL), p. 98-101 4 p. (Social Media Mining for Health, SMM4H 2021 - Proceedings of the 6th Workshop and Shared Tasks).

  研究成果: 書貢獻/報告類型 › 會議論文篇章 › 同行評審

  • Pregnancy 100%
  • Transformer 93%
  • Language Model 28%
  • Classifiers 24%
  • Classifier 19%
  3 引文 斯高帕斯（Scopus）

• Generative Adversarial Networks based on Mixed-Attentions for Citation Intent Classification in Scientific Publications

  Wang, Y. S., Chen, C. Y. & Lee, L. H., 2021, ROCLING 2021 - Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing. Lee, L-H., Chang, C-H. & Chen, K-Y. (編輯). The Association for Computational Linguistics and Chinese Language Processing (ACLCLP), p. 280-285 6 p. (ROCLING 2021 - Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing).

  研究成果: 書貢獻/報告類型 › 會議論文篇章 › 同行評審

  • Scientific Publications 100%
  • Citations 76%
  • Generative 75%
  • Publications 62%
  • Language Therapy 54%

• Incorporating Domain Knowledge into Language Transformers for Multi-Label Classification of Chinese Medical Questions

  Chen, P. H., Zeng, Y. X. & Lee, L. H., 2021, ROCLING 2021 - Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing. Lee, L-H., Chang, C-H. & Chen, K-Y. (編輯). The Association for Computational Linguistics and Chinese Language Processing (ACLCLP), p. 265-270 6 p. (ROCLING 2021 - Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing).

  研究成果: 書貢獻/報告類型 › 會議論文篇章 › 同行評審

  • Language 100%
  • knowledge 81%
  • Datasets 66%
  • Language Model 59%
  • performance 57%
  1 引文 斯高帕斯（Scopus）

• Multi-Label Classification of Chinese Humor Texts Using Hypergraph Attention Networks

  Kao, H. C., Hung, M. C., Lee, L. H. & Tseng, Y. H., 2021, ROCLING 2021 - Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing. Lee, L-H., Chang, C-H. & Chen, K-Y. (編輯). The Association for Computational Linguistics and Chinese Language Processing (ACLCLP), p. 257-264 8 p. (ROCLING 2021 - Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing).

  研究成果: 書貢獻/報告類型 › 會議論文篇章 › 同行評審

  • Wit and Humor 100%
  • Graph 78%
  • humor 77%
  • Learning Model 56%
  • CNN 53%
  1 引文 斯高帕斯（Scopus）

• NCUEE-NLP at MEDIQA 2021: Health Question Summarization Using PEGASUS Transformers

  Lee, L. H., Chen, P. H., Zeng, Y. X., Lee, P. L. & Shyu, K. K., 2021, Proceedings of the 20th Workshop on Biomedical Language Processing, BioNLP 2021. Demner-Fushman, D., Cohen, K. B., Ananiadou, S. & Tsujii, J. (編輯). Association for Computational Linguistics (ACL), p. 268-272 5 p. (Proceedings of the 20th Workshop on Biomedical Language Processing, BioNLP 2021).

  研究成果: 書貢獻/報告類型 › 會議論文篇章 › 同行評審

  • Summarization 100%
  • Natural Language Processing (NLP) 97%
  • Natural language processing systems 83%
  • Datasets 54%
  • Health 50%
  3 引文 斯高帕斯（Scopus）

• NCU-NLP at ROCLING-2021 Shared Task: Using MacBERT Transformers for Dimensional Sentiment Analysis

  Hung, M. C., Chen, C. Y., Chen, P. J. & Lee, L. H., 2021, ROCLING 2021 - Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing. Lee, L-H., Chang, C-H. & Chen, K-Y. (編輯). The Association for Computational Linguistics and Chinese Language Processing (ACLCLP), p. 380-384 5 p. (ROCLING 2021 - Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing).

  研究成果: 書貢獻/報告類型 › 會議論文篇章 › 同行評審

  • dimensional analysis 100%
  • Natural Language Processing (NLP) 99%
  • Arousal 70%
  • Sentiment 64%
  • Valence 52%
  1 引文 斯高帕斯（Scopus）
• 2020

  Multi-Channel CNN-BiLSTM for Chinese grammatical error detection

  Lee, L. H., Wang, Y. S., Lin, P. C., Hung, C. T. & Tseng, Y. H., 23 11月 2020, ICCE 2020 - 28th International Conference on Computers in Education, Proceedings. So, H-J., Rodrigo, M. M., Mason, J., Mitrovic, A., Bodemer, D., Chen, W., Chen, Z-H., Flanagan, B., Jansen, M., Nkambou, R. & Wu, L. (編輯). Asia-Pacific Society for Computers in Education, p. 558-560 3 p. (ICCE 2020 - 28th International Conference on Computers in Education, Proceedings; 卷 1).

  研究成果: 書貢獻/報告類型 › 會議論文篇章 › 同行評審

  • CNN 100%
  • Error detection 77%
  • neural network 28%
  • Long short-term memory 27%
  • Convolutional neural networks 21%
  2 引文 斯高帕斯（Scopus）