CN117933259A - 基于局部文本信息的命名实体识别方法 - Google Patents
基于局部文本信息的命名实体识别方法 Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
- G06F40/289—Phrasal analysis, e.g. finite state techniques or chunking
- G06F40/295—Named entity recognition
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/35—Clustering; Classification
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
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Citations (12)
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US20210034701A1 (en) * | 2019-07-30 | 2021-02-04 | Baidu Usa Llc | Coreference-aware representation learning for neural named entity recognition |
CN112711948A (zh) * | 2020-12-22 | 2021-04-27 | 北京邮电大学 | 一种中文句子的命名实体识别方法及装置 |
CN112733541A (zh) * | 2021-01-06 | 2021-04-30 | 重庆邮电大学 | 基于注意力机制的BERT-BiGRU-IDCNN-CRF的命名实体识别方法 |
CN113836930A (zh) * | 2021-09-28 | 2021-12-24 | 浙大城市学院 | 一种中文危险化学品命名实体识别方法 |
CN115169349A (zh) * | 2022-06-30 | 2022-10-11 | 中国人民解放军战略支援部队信息工程大学 | 基于albert的中文电子简历命名实体识别方法 |
CN115238693A (zh) * | 2022-07-11 | 2022-10-25 | 中国医学科学院北京协和医院 | 一种基于多分词和多层双向长短期记忆的中文命名实体识别方法 |
CN115906816A (zh) * | 2022-11-03 | 2023-04-04 | 北京工业大学 | 一种基于Bert的双通道Attention模型的文本情感分析方法 |
CN115935998A (zh) * | 2022-12-26 | 2023-04-07 | 郑州大学 | 多特征金融领域命名实体识别方法 |
CN116561592A (zh) * | 2023-07-11 | 2023-08-08 | 航天宏康智能科技(北京)有限公司 | 文本情感识别模型的训练方法和文本情感识别方法及装置 |
CN116842955A (zh) * | 2023-07-11 | 2023-10-03 | 北京工业大学 | 一种基于多特征提取的医学实体关系方法 |
CN117010387A (zh) * | 2023-01-05 | 2023-11-07 | 国家电网有限公司客户服务中心南方分中心 | 融合注意力机制的RoBERTa-BiLSTM-CRF语音对话文本命名实体识别*** |
CN117150436A (zh) * | 2023-10-31 | 2023-12-01 | 上海大智慧财汇数据科技有限公司 | 多模态自适应融合的主题识别方法及*** |
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2024
- 2024-03-25 CN CN202410338745.2A patent/CN117933259B/zh active Active
Patent Citations (12)
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US20210034701A1 (en) * | 2019-07-30 | 2021-02-04 | Baidu Usa Llc | Coreference-aware representation learning for neural named entity recognition |
CN112711948A (zh) * | 2020-12-22 | 2021-04-27 | 北京邮电大学 | 一种中文句子的命名实体识别方法及装置 |
CN112733541A (zh) * | 2021-01-06 | 2021-04-30 | 重庆邮电大学 | 基于注意力机制的BERT-BiGRU-IDCNN-CRF的命名实体识别方法 |
CN113836930A (zh) * | 2021-09-28 | 2021-12-24 | 浙大城市学院 | 一种中文危险化学品命名实体识别方法 |
CN115169349A (zh) * | 2022-06-30 | 2022-10-11 | 中国人民解放军战略支援部队信息工程大学 | 基于albert的中文电子简历命名实体识别方法 |
CN115238693A (zh) * | 2022-07-11 | 2022-10-25 | 中国医学科学院北京协和医院 | 一种基于多分词和多层双向长短期记忆的中文命名实体识别方法 |
CN115906816A (zh) * | 2022-11-03 | 2023-04-04 | 北京工业大学 | 一种基于Bert的双通道Attention模型的文本情感分析方法 |
CN115935998A (zh) * | 2022-12-26 | 2023-04-07 | 郑州大学 | 多特征金融领域命名实体识别方法 |
CN117010387A (zh) * | 2023-01-05 | 2023-11-07 | 国家电网有限公司客户服务中心南方分中心 | 融合注意力机制的RoBERTa-BiLSTM-CRF语音对话文本命名实体识别*** |
CN116561592A (zh) * | 2023-07-11 | 2023-08-08 | 航天宏康智能科技(北京)有限公司 | 文本情感识别模型的训练方法和文本情感识别方法及装置 |
CN116842955A (zh) * | 2023-07-11 | 2023-10-03 | 北京工业大学 | 一种基于多特征提取的医学实体关系方法 |
CN117150436A (zh) * | 2023-10-31 | 2023-12-01 | 上海大智慧财汇数据科技有限公司 | 多模态自适应融合的主题识别方法及*** |
Non-Patent Citations (4)
Title |
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KRZYSZTOF CHOROMANSKI 等: "RETHINKING ATTENTION WITH PERFORMERS", 《HTTPS://ARXIV.ORG/SEARCH/CS?SEARCHTYPE=AUTHOR&QUERY=SARLOS, +T》, 30 September 2020 (2020-09-30), pages 1 - 38 * |
吴晓鸰,陈祥旺,占文韬,凌 捷: "基于门控注意力单元的中文医学命名实体识别", 《广东工业大学学报》, vol. 40, no. 06, 9 November 2023 (2023-11-09), pages 176 - 185 * |
宁尚明;滕飞;李天瑞;: "基于多通道自注意力机制的电子病历实体关系抽取", 计算机学报, no. 05, 15 May 2020 (2020-05-15), pages 916 - 929 * |
数据猿: "谷歌Transformer再升级——新模型实现性能、速度双提升,发展潜力巨大", Retrieved from the Internet <URL:《https://cloud.tencent.com/developer/article/1744942》> * |
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