Demo Data from EDBT 2026 / reviewers in the wild / expert
Adeline Müller
dblp:278/0235
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—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 |
Information extraction and text analysis · 56% Language models and text generation · 44% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Information extraction and text analysis
automatic text simplification evaluation |
0.6 | 1 | 2022 | Linguistic Corpus Annotation for Automatic Text Simplification Evaluation · EMNLP 2022 |
Natural language and speech › Language models and text generation › text generation
text simplification |
0.6 | 1 | 2022 | Linguistic Corpus Annotation for Automatic Text Simplification Evaluation · EMNLP 2022 |
Natural language and speech › Information extraction and text analysis › data annotation
corpus annotation |
0.2 | 1 | 2022 | Linguistic Corpus Annotation for Automatic Text Simplification Evaluation · EMNLP 2022 |
Methods — techniques the papers use, named apart from their topics
corpus annotation · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Linguistic Corpus Annotation for Automatic Text Simplification EvaluationabstractRémi Cardon, Adrien Bibal, Rodrigo Wilkens, David Alfter, Magali Norré, Adeline Müller, Watrin Patrick, Thomas François. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 2022. Rémi Cardon, Adrien Bibal, Rodrigo Wilkens, David Alfter, Magali Norré, Adeline Müller, Patrick Watrin, Thomas François |
EMNLP | 6 |