Download PDFOpen PDF in browserChinese Named Entity Recognition with Changed BiLSTM and CRFEasyChair Preprint 10288 pages•Date: May 27, 2019AbstractThis paper is aimed at improving name entity recognition(NER) accuracy. We replace the traditional bidirectional long short-term memory network (BiLSTM) with a changed BiLSTM, and then uses a CRF layer behind the changed BiLSTM layer to add the probabilistic relation of different Chinese characters. Keyphrases: CRF, Changed BiLSTM, NER
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