Acta Scientiarum Naturalium Universitatis Pekinensis ›› 2020, Vol. 56 ›› Issue (1): 97-104.DOI: 10.13209/j.0479-8023.2019.098
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HUANG Depeng, LI Zhenghua†, GONG Chen, ZHANG Min
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黄德朋, 李正华†, 龚晨, 张民
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Key words: coupled model, BiLSTM, deep learning, part-of-speech tagging, word segmentation
摘要:
关键词: 耦合模型, BiLSTM, 深度学习, 词性标注, 分词
HUANG Depeng, LI Zhenghua, GONG Chen, ZHANG Min. Neural Network Coupled Model for Conversion and Exploitation of Heterogeneous Lexical Annotations[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2020, 56(1): 97-104.
黄德朋, 李正华, 龚晨, 张民. 基于神经耦合模型的异构词法数据转化和融合[J]. 北京大学学报自然科学版, 2020, 56(1): 97-104.
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URL: http://xbna.pku.edu.cn/EN/10.13209/j.0479-8023.2019.098
http://xbna.pku.edu.cn/EN/Y2020/V56/I1/97