Practical Guidelines for Intent Recognition: BERT with Minimal Training Data Evaluated in Real-World HRI Application

Matthew Huggins, Sharifa Alghowinem, Sooyeon Jeong, Pedro Colon-Hernandez, Cynthia Breazeal, Hae Won Park. Practical Guidelines for Intent Recognition: BERT with Minimal Training Data Evaluated in Real-World HRI Application. In Cindy L. Bethel, Ana Paiva, Elizabeth Broadbent, David Feil-Seifer, Daniel Szafir, editors, HRI '21: ACM/IEEE International Conference on Human-Robot Interaction, Boulder, CO, USA, March 8-11, 2021. pages 341-350, ACM, 2021. [doi]

@inproceedings{HugginsAJCBP21,
  title = {Practical Guidelines for Intent Recognition: BERT with Minimal Training Data Evaluated in Real-World HRI Application},
  author = {Matthew Huggins and Sharifa Alghowinem and Sooyeon Jeong and Pedro Colon-Hernandez and Cynthia Breazeal and Hae Won Park},
  year = {2021},
  doi = {10.1145/3434073.3444671},
  url = {https://doi.org/10.1145/3434073.3444671},
  researchr = {https://researchr.org/publication/HugginsAJCBP21},
  cites = {0},
  citedby = {0},
  pages = {341-350},
  booktitle = {HRI '21: ACM/IEEE International Conference on Human-Robot Interaction, Boulder, CO, USA, March 8-11, 2021},
  editor = {Cindy L. Bethel and Ana Paiva and Elizabeth Broadbent and David Feil-Seifer and Daniel Szafir},
  publisher = {ACM},
  isbn = {978-1-4503-8289-2},
}