Demo Data from EDBT 2026 / reviewers in the wild / expert
Anh Nguyen Duc 0002
dblp:428/1561
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Information extraction and text analysis · 87% Segmentation and scene understanding · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Information extraction and text analysis › topic model
neural topic model |
1.0 | 1 | 2026 | Global and local context in short text neural topic model · Artif. Intell. 2026 |
Natural language and speech › Information extraction and text analysis › topic model
short text topic modeling |
1.0 | 1 | 2026 | Global and local context in short text neural topic model · Artif. Intell. 2026 |
Computer vision › Segmentation and scene understanding
context modeling |
0.3 | 1 | 2026 | Global and local context in short text neural topic model · Artif. Intell. 2026 |
Methods — techniques the papers use, named apart from their topics
neural topic model · 1.0context modeling · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Global and local context in short text neural topic model
Ngo Van Linh 0001, Anh Nguyen Duc 0002 |
Artif. Intell. | 3 |