@inproceedings{davletov-etal-2021-liori,
    title = "{LIORI} at {S}em{E}val-2021 Task 2: Span Prediction and Binary Classification approaches to Word-in-Context Disambiguation",
    author = "Davletov, Adis  and
      Arefyev, Nikolay  and
      Gordeev, Denis  and
      Rey, Alexey",
    editor = "Palmer, Alexis  and
      Schneider, Nathan  and
      Schluter, Natalie  and
      Emerson, Guy  and
      Herbelot, Aurelie  and
      Zhu, Xiaodan",
    booktitle = "Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)",
    month = aug,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2021.semeval-1.103/",
    doi = "10.18653/v1/2021.semeval-1.103",
    pages = "780--786",
    abstract = "This paper presents our approaches to SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation task. The first approach attempted to reformulate the task as a question answering problem, while the second one framed it as a binary classification problem. Our best system, which is an ensemble of XLM-R based binary classifiers trained with data augmentation, is among the 3 best-performing systems for Russian, French and Arabic in the multilingual subtask. In the post-evaluation period, we experimented with batch normalization, subword pooling and target word occurrence aggregation methods, resulting in further performance improvements."
}