Demo Data from VLDB 2026 / reviewers in the wild / expert
Dylan Finkbeiner
dblp:301/9500
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
—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 |
Probabilistic and Bayesian machine learning · 77% Information extraction and text analysis · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Probabilistic and Bayesian machine learning › structured models › graphical models › structure learning
latent tree learning |
0.5 | 1 | 2021 | Improved Latent Tree Induction with Distant Supervision via Span Constraints · EMNLP (1) 2021 |
Natural language and speech › Information extraction and text analysis
syntactic parsing |
0.1 | 1 | 2021 | Improved Latent Tree Induction with Distant Supervision via Span Constraints · EMNLP (1) 2021 |
Methods — techniques the papers use, named apart from their topics
span constraints · 0.5distant supervision · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Improved Latent Tree Induction with Distant Supervision via Span ConstraintsabstractZhiyang Xu, Andrew Drozdov, Jay Yoon Lee, Tim O’Gorman, Subendhu Rongali, Dylan Finkbeiner, Shilpa Suresh, Mohit Iyyer, Andrew McCallum. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 2021. Zhiyang Xu, Andrew Drozdov, Jay-Yoon Lee, Tim O'Gorman, Subendhu Rongali, Dylan Finkbeiner, Shilpa Suresh, Mohit Iyyer, Andrew McCallum |
EMNLP (1) | 6 |