Reducing the Need for Manual Annotated Datasets in Aspect Sentiment Classification by Transfer Learning and Weak-Supervision

Ermelinda Oro, Massimo Ruffolo, Francesco Visalli. Reducing the Need for Manual Annotated Datasets in Aspect Sentiment Classification by Transfer Learning and Weak-Supervision. In Ana Paula Rocha 0001, Luc Steels, H. Jaap van den Herik, editors, Agents and Artificial Intelligence, 12th International Conference, ICAART 2020, Valletta, Malta, February 22-24, 2020, Revised Selected Papers. Volume 12613 of Lecture Notes in Computer Science, pages 445-464, Springer, 2020. [doi]

@inproceedings{OroRV20,
  title = {Reducing the Need for Manual Annotated Datasets in Aspect Sentiment Classification by Transfer Learning and Weak-Supervision},
  author = {Ermelinda Oro and Massimo Ruffolo and Francesco Visalli},
  year = {2020},
  doi = {10.1007/978-3-030-71158-0_21},
  url = {https://doi.org/10.1007/978-3-030-71158-0_21},
  researchr = {https://researchr.org/publication/OroRV20},
  cites = {0},
  citedby = {0},
  pages = {445-464},
  booktitle = {Agents and Artificial Intelligence, 12th International Conference, ICAART 2020, Valletta, Malta, February 22-24, 2020, Revised Selected Papers},
  editor = {Ana Paula Rocha 0001 and Luc Steels and H. Jaap van den Herik},
  volume = {12613},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-71157-3},
}