融入篇章信息的文学作品命名实体识别(Document-level Literary Named Entity Recognition)
“命名实体识别是文学作品智能分析的基础性工作,当前文学领域命名实体识别的研究还较薄弱,一个主要的原因是缺乏标注语料。本文从金庸小说入手,对两部小说180余万字进行了命名实体的标注,共标注4类实体5万多个。针对小说文本的特点,本文提出融入篇章信息的命名实体识别模型,引入篇章字典保存汉字的历史状态,利用可信度计算融合BiGRU-CRF与Transformer模型。实验结果表明,利用篇章信息有效地提升了命名实体识别的效果。最后,我们还探讨了命名实体识别在小说社会网络构建中的应用。”
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named-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)Similar Papers 제목 키워드 기반
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