Integrating N-Gram Features into Pre-trained Model: A Novel Ensemble Model for Multi-target Stance Detection

Pengyuan Chen, Kai Ye, Xiaohui Cui. Integrating N-Gram Features into Pre-trained Model: A Novel Ensemble Model for Multi-target Stance Detection. In Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter, editors, Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part III. Volume 12893 of Lecture Notes in Computer Science, pages 269-279, Springer, 2021. [doi]

@inproceedings{ChenYC21-3,
  title = {Integrating N-Gram Features into Pre-trained Model: A Novel Ensemble Model for Multi-target Stance Detection},
  author = {Pengyuan Chen and Kai Ye and Xiaohui Cui},
  year = {2021},
  doi = {10.1007/978-3-030-86365-4_22},
  url = {https://doi.org/10.1007/978-3-030-86365-4_22},
  researchr = {https://researchr.org/publication/ChenYC21-3},
  cites = {0},
  citedby = {0},
  pages = {269-279},
  booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part III},
  editor = {Igor Farkas and Paolo Masulli and Sebastian Otte and Stefan Wermter},
  volume = {12893},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-86365-4},
}