19 citations · 36 across the 4 of their papers we have counts for
6 papers
Rethinking Image-based Table Recognition Using Weakly Supervised Methods
Nam Tuan Ly, Atsuhiro Takasu, Phuc Nguyen +1
Most of the previous methods for table recognition rely on training datasets containing many richly annotated table images. Detailed table image annotation, e.g., cell or text boun…
Wikidata-lite for Knowledge Extraction and Exploration
Phuc Nguyen, Hideaki Takeda
Wikidata is the largest collaborative general knowledge graph supported by a worldwide community. It includes many helpful topics for knowledge exploration and data science applica…
TabEAno: Table to Knowledge Graph Entity Annotation
Phuc Nguyen, Natthawut Kertkeidkachorn, Ryutaro Ichise +1
In the Open Data era, a large number of table resources have been made available on the Web and data portals. However, it is difficult to directly utilize such data due to the ambi…
MTab: Matching Tabular Data to Knowledge Graph using Probability Models
Phuc Nguyen, Natthawut Kertkeidkachorn, Ryutaro Ichise +1
This paper presents the design of our system, namely MTab, for Semantic Web Challenge on Tabular Data to Knowledge Graph Matching (SemTab 2019). MTab combines the voting algorithm…
EmbNum: Semantic labeling for numerical values with deep metric learning
Phuc Nguyen, Khai Nguyen, Ryutaro Ichise +1
Semantic labeling for numerical values is a task of assigning semantic labels to unknown numerical attributes. The semantic labels could be numerical properties in ontologies, inst…
Online learning for Social Spammer Detection on Twitter
Phuc Tri Nguyen, Hideaki Takeda
Social networking services like Twitter have been playing an import role in people's daily life since it supports new ways of communicating effectively and sharing information. The…