@inproceedings{zukov-gregoric-etal-2018-named,
    title = "Named Entity Recognition With Parallel Recurrent Neural Networks",
    author = "{\v{Z}}ukov-Gregori{\v{c}}, Andrej  and
      Bachrach, Yoram  and
      Coope, Sam",
    editor = "Gurevych, Iryna  and
      Miyao, Yusuke",
    booktitle = "Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)",
    month = jul,
    year = "2018",
    address = "Melbourne, Australia",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/P18-2012/",
    doi = "10.18653/v1/P18-2012",
    pages = "69--74",
    abstract = "We present a new architecture for named entity recognition. Our model employs multiple independent bidirectional LSTM units across the same input and promotes diversity among them by employing an inter-model regularization term. By distributing computation across multiple smaller LSTMs we find a significant reduction in the total number of parameters. We find our architecture achieves state-of-the-art performance on the CoNLL 2003 NER dataset."
}