5 citations · 10 across the 4 of their papers we have counts for
6 papers
On Disambiguating Authors: Collaboration Network Reconstruction in a Bottom-up Manner
Na Li, Renyu Zhu, Xiaoxu Zhou +4
Author disambiguation arises when different authors share the same name, which is a critical task in digital libraries, such as DBLP, CiteULike, CiteSeerX, etc. While the state-of-…
Learning Relation Prototype from Unlabeled Texts for Long-tail Relation Extraction
Yixin Cao, Jun Kuang, Ming Gao +3
Relation Extraction (RE) is a vital step to complete Knowledge Graph (KG) by extracting entity relations from texts.However, it usually suffers from the long-tail issue. The traini…
EDSL: An Encoder-Decoder Architecture with Symbol-Level Features for Printed Mathematical Expression Recognition
Yingnan Fu, Tingting Liu, Ming Gao +1
Printed Mathematical expression recognition (PMER) aims to transcribe a printed mathematical expression image into a structural expression, such as LaTeX expression. It is a crucia…
Improving Neural Relation Extraction with Implicit Mutual Relations
Jun Kuang, Yixin Cao, Jianbing Zheng +3
Relation extraction (RE) aims at extracting the relation between two entities from the text corpora. It is a crucial task for Knowledge Graph (KG) construction. Most existing metho…
Learning Vertex Representations for Bipartite Networks
Ming Gao, Xiangnan He, Leihui Chen +3
Recent years have witnessed a widespread increase of interest in network representation learning (NRL). By far most research efforts have focused on NRL for homogeneous networks li…
BiRank: Towards Ranking on Bipartite Graphs
Xiangnan He, Ming Gao, Min-Yen Kan +1
The bipartite graph is a ubiquitous data structure that can model the relationship between two entity types: for instance, users and items, queries and webpages. In this paper, we…