Demo Data from EDBT 2026 / reviewers in the wild / expert
Elsa Alves
dblp:03/409
· DBLP profile ↗
1ranked-venue papers
0as 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 · 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.
| Databases, data mining, and information retrieval
1 paper |
Information retrieval · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval › document retrieval
passage retrieval |
0.1 | 1 | 2007 | Topic Segmentation Algorithms for Text Summarization and Passage Retrieval: An Exhaustive Evaluation · AAAI 2007 |
Information retrieval
text summarization |
0.1 | 1 | 2007 | Topic Segmentation Algorithms for Text Summarization and Passage Retrieval: An Exhaustive Evaluation · AAAI 2007 |
Information retrieval › text analysis › text segmentation
topic segmentation |
0.1 | 1 | 2007 | Topic Segmentation Algorithms for Text Summarization and Passage Retrieval: An Exhaustive Evaluation · AAAI 2007 |
Methods — techniques the papers use, named apart from their topics
evaluation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Topic Segmentation Algorithms for Text Summarization and Passage Retrieval: An Exhaustive Evaluation
Gaël Dias, Elsa Alves, José Gabriel Pereira Lopes |
AAAI | 2 |