@inproceedings{3894,
  keywords = {Attention mechanism, Attention mechanisms, Brain, Classification (of information), Convolution, convolutional neural network, Convolutional neural networks, Intangible cultural heritages, Long short-term memory, Long short-term memory network, Memory network, Semantic features, Semantics, Structural feature, Text classification, Text processing, Traditional cultures},
  author = {Yang Xu and Yuru Jiang and Yu Wu and Yuyao Zhang},
  title = {Classifying Wu-Qing Couplets and General Couplets with Structural and Semantic Features},
  abstract = {The couplet custom is one of China’s intangible cultural heritage, and it occupies a pivotal position in Chinese traditional culture. The general couplet requires that the first sentence and the second sentence be opposite and semantically coherent. As a particular type of couplets, Wu-Qing couplets are related on the character level but irrelevant at the sentence level. Such characteristics make the Wu-Qing couplet significantly different in structure and semantics compared to the general couplets. In this paper, Convolutional Neural Network is used to extract structural features. Long Short-Term Memory network and vector operations are used to extract semantic features, and the Attention mechanism is used to strengthen structural and semantic information. Finally, we propose a model with structural and semantic features between general couplets and Wu-Qing couplets. The final F1 score reached 82.6, which was an increase of 5.4 compared to the baseline model.},
  year = {2021},
  series = {21st Chinese Lexical Semantics Workshop, CLSW 2020},
  volume = {12278 LNAI},
  pages = {562-575},
  publisher = {Springer Science and Business Media Deutschland GmbH},
  school = {Springer Science and Business Media Deutschland GmbH},
  isbn = {03029743 (ISSN); 9783030811969 (ISBN)},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139026338&doi=10.1007%2f978-3-030-81197-6_48&partnerID=40&md5=74a6158ace1dff7f54ed7cceb63561f0},
  doi = {10.1007/978-3-030-81197-6_48},
  note = {Journal Abbreviation: Lect. Notes Comput. Sci. Pages: 575 Publication Title: Lect. Notes Comput. Sci.},
  language = {English},
}