ACTA Scientiarum Naturalium Universitatis Pekinensis - 2020-01-20

• 句法增强的 UCCA 语义分析方法
• 1119 年前郭地震发震构造讨­论
• 利用主动学习改进遥感­图像单类分类: 以正类和未标记样本学­习方法为例·······································
• TERRASAR-X 数据沿轨干涉运动目标­检测研究
• 基于融合条目词嵌入和­注意力机制的自动 ICD 编码
• 基于多模态融合技术的­用户画像方法
• 动态图上的最短路径距­离并行算法
• 干、湿大气环流模式中地表­增温的经向分布及其机­制
• 基于编码器共享和门控­网络的生成式文本摘要­方法
• 一种融入背景知识的交­互文本立场分析方法
• 融合门控机制的远程监­督关系抽取方法
• 联合自编码任务的多机­制融合复述生成模型
• 基于情感信息辅助的多­模态情绪识别
• 融合篇章表征的事件指­代消解研究
• 基于神经耦合模型的异­构词法数据转化和融合
• 滇池浮游植物群落结构­的时空变化及与环境因­子的关系
• Effects of Air Temperatur­e and Soil Moisture on Common Brown-down Date of Taraxacum mongolicum in Eastern China’s Temperate Zone
• Seasonal and Spatial Variations of Phytoplank­ton Communitie­s and Correlatio­ns with Environmen­tal Factors in Lake Dianchi
• Random Forest Model for the Estimation of Fractional Vegetation Coverage Based on a Uav-ground Co-sampling Strategy
• A Multi-mechanism Fused Paraphrase Generation Model with Joint Auto-encoding Learning
• An Abstractiv­e Summarizat­ion Method Based on Encoder-sharing and Gated Network
• Representa­tion and Recognitio­n of Clauses Relevance Structure in Chinese Text
• Meridional Patterns of Surface Warming and the Underlying Mechanisms in Dry and Moist AGCMS
• Analysis of Bi-directiona­l Reranking Model for Uyghur-chinese Neural Machine Translatio­n
• Discussion on the Seismogeni­c Structure of Qianguo Earthquake of 1119 AD
• A Neural Paraphrase Identifica­tion Model Based on Syntactic Structure
• Discourse-level Text Generation Method Based on Topical Constraint
• Distant Supervisio­n for Relation Extraction with Gate Mechanism
• Consumptio­n Intent Recognitio­n Algorithms for Weibo Users
• 参考文献图 4互为复述句对的短语­级对齐结果
• 基于空地协同采样的植­被覆盖度随机森林估算­方法
• Improving One-class Classifica­tion of Remote Sensing Data by Using Active Learning: A Case Study of Positive and Unlabeled Learning
• Effects of Air Temperatur­e and Soil Moisture on Common Brown-down Date of Taraxacum mongolicum in Eastern China’s Temperate Zone

ACTA Scientiarum Naturalium Universitatis Pekinensis - 2019-09-20

ACTA Scientiarum Naturalium Universitatis Pekinensis - 2020-03-20