Demo Data from EDBT 2026 / reviewers in the wild / expert
Vinodh Rajendran
dblp:183/0993
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1
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 · 77% Language models and text generation · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Information extraction and text analysis › text similarity
paraphrase identification |
0.2 | 1 | 2016 | Learning Paraphrase Identification with Structural Alignment · IJCAI 2016 |
Natural language and speech › Language models and text generation › alignment
structural alignment |
0.1 | 1 | 2016 | Learning Paraphrase Identification with Structural Alignment · IJCAI 2016 |
Methods — techniques the papers use, named apart from their topics
structural alignment · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Learning Paraphrase Identification with Structural Alignment
Praveen K. Paritosh, Vinodh Rajendran, Kenneth D. Forbus |
IJCAI | 3 |