Demo Data from EDBT 2026 / reviewers in the wild / expert
Lukas Michelbacher
dblp:56/8158
· DBLP profile ↗
3ranked-venue papers
3as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 3 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 · 67% Image recognition and object detection · 33% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › Image recognition and object detection › object detection
cascade classifier |
0.1 | 1 | 2011 | A Cascaded Classification Approach to Semantic Head Recognition · EMNLP 2011 |
Natural language and speech › Information extraction and text analysis
syntactic parsing |
0.1 | 1 | 2011 | A Cascaded Classification Approach to Semantic Head Recognition · EMNLP 2011 |
Methods — techniques the papers use, named apart from their topics
cascaded classification · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Unsupervised Feature Adaptation for Cross-Domain NLP with an Application to Compositionality Grading
Lukas Michelbacher, Qi Han 0006, Hinrich Schütze |
CICLing (1) | 1 |
| 2011 | A Cascaded Classification Approach to Semantic Head Recognition
Lukas Michelbacher, Alok Kothari, Martin Forst, Christina Lioma, Hinrich Schütze |
EMNLP | 1 |
| 2010 | Building a Cross-lingual Relatedness Thesaurus using a Graph Similarity Measure
Lukas Michelbacher, Florian Laws, Beate Dorow, Ulrich Heid, Hinrich Schütze |
LREC | 1 |