文本计算与认知智能科研团队

发布时间: 2021-05-06 |  查看数:3579

团队名称:文本计算与认知智能研究团队

 

l主要研究领域:

n自然语言理解

n文本挖掘

n知识工程

 

l团队负责人:黄瑞章教授博士博导

主要团队成员:

n秦永彬教授博士博导

n陈艳平大数据特聘教授博士博导

n林川副教授硕导

n蔡丽讲师在读博士

 

部分论文:

[1]  Bai R, Huang R, Qin Y, et al. A structural consensus representation learning framework for multi-view clustering[J]. Knowledge-Based Systems, 2024, 283: 111132. (SCI 1)

[2]  Hu Y, Chen Y, Huang R, et al. A hierarchical convolutional model for biomedical relation extraction[J]. Information Processing & Management, 2024, 61(1): 103560. (SCI 1)

[3] Feng G, Qin Y, Huang R, et al. Criminal action graph: a semantic representation model of judgement documents for legal charge prediction[J]. Information Processing & Management, 2023, 60(5): 103421. (SCI 1)

[4]  Chen Y, Zhong X, Liu Y, et al. A deep penetration network for sentence classification[J]. Information Fusion, 2023, 95: 174-185. (SCI 1)

[5]  Geng R, Chen Y, Huang R, et al. Planarized sentence representation for nested named entity recognition[J]. Information Processing & Management, 2023, 60(4): 103352. (SCI 1)

[6]  Tang R, Chen Y, Qin Y, et al. Boundary regression model for joint entity and relation extraction[J]. Expert Systems with Applications, 2023, 229: 120441. (SCI 1)

[7]  Wu Y, Chen Y, Qin Y, et al. A recollect-tuning method for entity and relation extraction[J]. Expert Systems with Applications, 2024, 245: 123000. (SCI 1)

[8]  Ren L, Qin Y, Chen Y, et al. Deep document clustering via adaptive hybrid representation learning[J]. Knowledge-Based Systems, 2023, 281: 111058. (SCI 1)

[9]  Bai R, Huang R, et al. HVAE: A Deep Generative Model via Hierarchical Variational Auto-Encoder for Multi-view Document Modeling[J]. Information Sciences2023, 623(2023), 40-55. (SCI 1)

[10] Ren L, Huang R, et al. Deep Multi-kernel Clustering Network. In Proceedings of IEEE International Conference on Data Mining (ICDM), 2023. (CCF B) (Acceptance rate: 9.37%)

 

部分研究课题:

1. 数据融合驱动的社会治理风险动态感知预警技术与应用示范(2023YFC3304500),国家重点研发计划,4760,2023.11-2026.10

2. 面向公共大数据的可信大模型关键技术研究与应用(黔科合重大专项字【2024】003),贵州省科技重大专项,1460,2024.3-2027.3

3. 基于位置回归的嵌套语义识别机制研究62166007),国家自然科学基金,2022.01-2025.12

4. 面向裁判文书的行为要素挖掘与分析关键技术研究(62066008),国家自然科学基金,2021.01-2024.12

5. 面向多视图文本的深度文本聚类方法研究(62066007),国家自然科学基金,2021.01-2024.12