@inproceedings{hepburn-2018-universal,
    title = "Universal Language Model Fine-tuning for Patent Classification",
    author = "Hepburn, Jason",
    editor = "Kim, Sunghwan Mac  and
      Zhang, Xiuzhen (Jenny)",
    booktitle = "Proceedings of the Australasian Language Technology Association Workshop 2018",
    month = dec,
    year = "2018",
    address = "Dunedin, New Zealand",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/U18-1013/",
    pages = "93--96",
    abstract = "This paper describes the methods used for the 2018 ALTA Shared Task. The task this year was to automatically classify Australian patents into their main International Patent Classification section. Our final submission used a Support Vector Machine (SVM) and Universal Language Model with Fine-tuning (ULMFiT). Our system achieved the best results in the student category."
}