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Home > Web Information Systems Engineering – WISE 2019: 20th International Conference, Hong Kong, China, January 19–22, 2020, Proceedings > Pattern Filtering Attention for Distant Supervised Relation Extraction via Online Clustering
Web Information Systems Engineering – WISE 2019: 20th International Conference, Hong Kong, China, January 19–22, 2020, Proceedings |
Reynold Cheng; Nikos Mamoulis; Yizhou Sun; Xin Huang
Springer International Publishing
Web Information Systems Engineering – WISE 2019: 20th International Conference, Hong Kong, China, January 19–22, 2020, Proceedings
Pattern Filtering Attention for Distant Supervised Relation Extraction via Online Clustering
Authors

Min Peng; Qingwen Liao; Weilong Hu; Gang Tian; Hua Wang; YanChun Zhang

ARI Id

1665225039733_5447002

Access

Not Available Free

Pages

310-325

DOI

10.1007/978-3-030-34223-4_20

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-030-34223-4_20

Table of Contents of Book
Showing 1 to 20 of 63 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-xvii
Front Matter
1-1
GroExpert: A Novel Group-Aware Experts Identification Approach in Crowdsourcing
Qianli Xing; Weiliang Zhao; Jian Yang; Jia Wu; Qi Wang; Mei Wang
3-17
Detecting Fraudulent Accounts on Blockchain: A Supervised Approach
Michał Ostapowicz; Kamil Żbikowski
18-31
Locking Mechanism for Concurrency Conflicts on Hyperledger Fabric
Lu Xu; Wei Chen; Zhixu Li; Jiajie Xu; An Liu; Lei Zhao
32-47
Handling Conditional Queries on Hyperledger Fabric Efficiently
Tianlu Yan; Wei Chen; Pengpeng Zhao; Zhixu Li; An Liu; Lei Zhao
48-62
Front Matter
63-63
Learning to Fuse Multiple Semantic Aspects from Rich Texts for Stock Price Prediction
Ning Tang; Yanyan Shen; Junjie Yao
65-81
Transfer Learning via Feature Selection Based Nonnegative Matrix Factorization
Thirunavukarasu Balasubramaniam; Richi Nayak; Chau Yuen
82-97
Learning Restricted Deterministic Regular Expressions with Counting
Xiaofan Wang; Haiming Chen
98-114
Generating Adversarial Examples by Adversarial Networks for Semi-supervised Learning
Yun Ma; Xudong Mao; Yangbin Chen; Qing Li
115-129
Front Matter
131-131
Dual Path Convolutional Neural Network for Student Performance Prediction
Yuling Ma; Jian Zong; Chaoran Cui; Chunyun Zhang; Qizheng Yang; Yilong Yin
133-146
A Case Based Deep Neural Network Interpretability Framework and Its User Study
Rimmal Nadeem; Huijun Wu; Hye-young Paik; Chen Wang
147-161
Personalized Book Recommendation Based on a Deep Learning Model and Metadata
Yiu-Kai Ng; Urim Jung
162-178
DINRec: Deep Interest Network Based API Recommendation Approach for Mashup Creation
Yong Xiao; Jianxun Liu; Rong Hu; Buqing Cao; Yingcheng Cao
179-193
Front Matter
195-195
Co-purchaser Recommendation Based on Network Embedding
Jihong Chen; Wei Chen; Jinjing Huang; Jinhua Fang; Zhixu Li; An Liu et al.
197-211
Community-Based Recommendations on Twitter: Avoiding the Filter Bubble
Quentin Grossetti; Cédric du Mouza; Nicolas Travers
212-227
Memory-Augmented Attention Network for Sequential Recommendation
Cheng Hu; Peijian He; Chaofeng Sha; Junyu Niu
228-242
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 63 entries
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