@inproceedings{vakulenko-etal-2017-character,
    title = "Character-based Neural Embeddings for Tweet Clustering",
    author = "Vakulenko, Svitlana  and
      Nixon, Lyndon  and
      Lupu, Mihai",
    editor = "Ku, Lun-Wei  and
      Li, Cheng-Te",
    booktitle = "Proceedings of the Fifth International Workshop on Natural Language Processing for Social Media",
    month = apr,
    year = "2017",
    address = "Valencia, Spain",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/W17-1105/",
    doi = "10.18653/v1/W17-1105",
    pages = "36--44",
    abstract = "In this paper we show how the performance of tweet clustering can be improved by leveraging character-based neural networks. The proposed approach overcomes the limitations related to the vocabulary explosion in the word-based models and allows for the seamless processing of the multilingual content. Our evaluation results and code are available on-line: \url{https://github.com/vendi12/tweet2vec_clustering}."
}