35 citations · 74 across the 7 of their papers we have counts for
11 papers
TabIQA: Table Questions Answering on Business Document Images
Phuc Nguyen, Nam Tuan Ly, Hideaki Takeda +1
Table answering questions from business documents has many challenges that require understanding tabular structures, cross-document referencing, and additional numeric computations…
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…
LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention
Ikuya Yamada, Akari Asai, Hiroyuki Shindo +2
Entity representations are useful in natural language tasks involving entities. In this paper, we propose new pretrained contextualized representations of words and entities based…
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…