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中文语音命名实体识别数据集AISHELL-NER
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AISHELL-NER

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命名实体识别（NER）作为一项基础的自然语言处理任务，旨在将命名实体提取到预定义的类别中，例如人名、地名、组织名等。NER 在传统上作为一个序列标注任务，通常只处理文本数据。而如何提升 NER 在语音输入下的效果尚未被深入研究。基于在学术研究中被广泛使用的中文 ASR 开源数据集 AISHELL-1，我们构建了语音 NER 数据集 AISHELL-NER。训练集样本120,098条，验证集样本14,326条，测试集样本7,176条。
natural language processing text annotation Apache 2.0
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2023-03-05 20:05:42
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