213 citations · 773 across the 22 of their papers we have counts for
6 papers · 1 filter
Balance in Signed Bipartite Networks
Tyler Derr, Cassidy Johnson, Yi Chang +1
A large portion of today's big data can be represented as networks. However, not all networks are the same, and in fact, for many that have additional complexities to their structu…
Self-paced Ensemble for Highly Imbalanced Massive Data Classification
Zhining Liu, Wei Cao, Zhifeng Gao +4
Many real-world applications reveal difficulties in learning classifiers from imbalanced data. The rising big data era has been witnessing more classification tasks with large-scal…
A Novel Cascade Binary Tagging Framework for Relational Triple Extraction
Zhepei Wei, Jianlin Su, Yue Wang +2
Extracting relational triples from unstructured text is crucial for large-scale knowledge graph construction. However, few existing works excel in solving the overlapping triple pr…
Jointly Modeling Hierarchical and Horizontal Features for Relational Triple Extraction
Zhepei Wei, Yantao Jia, Yuan Tian +4
Recent works on relational triple extraction have shown the superiority of jointly extracting entities and relations over the pipelined extraction manner. However, most existing jo…
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System
Ye Liu, Chenwei Zhang, Xiaohui Yan +2
In real-world question-answering (QA) systems, ill-formed questions, such as wrong words, ill word order, and noisy expressions, are common and may prevent the QA systems from unde…
JIM: Joint Influence Modeling for Collective Search Behavior
Shubhra Kanti Karmaker Santu, Liangda Li, Yi Chang +1
Previous work has shown that popular trending events are important external factors which pose significant influence on user search behavior and also provided a way to computationa…