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An Application of Natural Language Processing: Named Entity Recognition with BLSTM in Chinese Corpora

机译：自然语言处理的应用：BLSTM在中文语料库中的命名实体识别

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作者
Mao, Lihui;
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作者单位

University of California Los Angeles;

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授予单位 University of California Los Angeles;
学科
学位 M.S.
年度 2019
页码 52 p.
总页数 52
原文格式 PDF
正文语种 eng
中图分类
关键词
入库时间 2022-08-17 11:58:44

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专利

1. Integrating Language Model and Reading Control Gate in BLSTM-CRF for Biomedical Named Entity Recognition [J] . Li Lishuang, Jiang Yuxin IEEE/ACM transactions on computational biology and bioinformatics . 2020,第3期

机译：BLSTM-CRF中的语言模型和读取控制门用于生物医学命名实体识别
2. Integrating Language Model and Reading Control Gate in BLSTM-CRF for Biomedical Named Entity Recognition [J] . Current Organic Synthesis . 2020,第3期

机译：在BLSTM-CRF中集成语言模型和读取控制门，用于生物医学命名实体识别
3. Automated Construction Specification Review with Named Entity Recognition Using Natural Language Processing [J] . Seonghyeon Moon, Gitaek Lee, Seokho Chi, Journal of Construction Engineering and Management . 2021,第1期

机译：使用自然语言处理的命名实体识别自动施工规范审查
4. An Empirical Study of the Occurrence and Co-Occurrence of Named Entities in Natural Language Corpora [C] . K Saravanan, Monojit Choudhury, Raghavendra Udupa, International conference on language resources and evaluation . 2012

机译：自然语言语料库中命名实体的发生与共现的实证研究
5. Natural language processing for named entities with word-internal information. [D] . Waxmonsky, Sonjia. 2011

机译：具有单词内部信息的命名实体的自然语言处理。
6. Evaluating the impact of pre-annotation on annotation speed and potential bias: natural language processing gold standard development for clinical named entity recognition in clinical trial announcements [O] . Todd Lingren, Louise Deleger, Katalin Molnar, 2014

机译：评估预批注对批注速度和潜在偏见的影响：在临床试验公告中为自然语言处理金标准开发的临床命名实体识别
7. NER-FL: A Novel Named Entity Recognizer of Farsi Language using the Web-Based Natural Language Processors and Semantic Annotations [O] . Babak Farhadi 2015

机译：NER-FL：使用基于Web的自然语言处理器和语义注释的波斯语语言的新命名实体识别器

An Application of Natural Language Processing: Named Entity Recognition with BLSTM in Chinese Corpora

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