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  • Publication . Conference object . Preprint . 2019
    Open Access English
    Authors: 
    Lilia Simeonova; Kiril Simov; Petya Osenova; Preslav Nakov;

    We propose a morphologically informed model for named entity recognition, which is based on LSTM-CRF architecture and combines word embeddings, Bi-LSTM character embeddings, part-of-speech (POS) tags, and morphological information. While previous work has focused on lea...