Demo Data from EDBT 2026 / reviewers in the wild / expert
Malte Boßert
dblp:329/4296
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
—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 |
Machine translation · 77% Language models and text generation · 23% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Machine translation › parallel corpora
sentence alignment |
0.7 | 1 | 2023 | A New Aligned Simple German Corpus · ACL (1) 2023 |
Methods — techniques the papers use, named apart from their topics
automatic sentence alignment · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | A New Aligned Simple German CorpusabstractLeichte Sprache", the German counterpart to Simple English, is a regulated language aiming to facilitate complex written language that would otherwise stay inaccessible to different groups of people.We present a new sentencealigned monolingual corpus for Simple German -German.It contains multiple documentaligned sources which we have aligned using automatic sentence-alignment methods.We evaluate our alignments based on a manually labelled subset of aligned documents.The quality of our sentence alignments, as measured by the F1-score, surpasses previous work. Vanessa Toborek, Moritz Busch, Malte Boßert, Christian Bauckhage, Pascal Welke |
ACL (1) | 3 |