Demo Data from VLDB 2026 / reviewers in the wild / expert
Seeger Fisher
dblp:50/1747
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author
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 · 100% |
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 segmentation
discourse segmentation |
0.1 | 1 | 2007 | The utility of parse-derived features for automatic discourse segmentation · ACL 2007 |
Natural language and speech › Information extraction and text analysis
syntactic parsing |
0.0 | 1 | 2007 | The utility of parse-derived features for automatic discourse segmentation · ACL 2007 |
Methods — techniques the papers use, named apart from their topics
parse-derived features · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | The utility of parse-derived features for automatic discourse segmentation
Seeger Fisher, Brian Roark |
ACL | 1 |