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Demo Data from VLDB 2026 / reviewers in the wild / expert

Magdalena Plamada

dblp:136/8711 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2015
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 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
Machine translation · 77% Information extraction and text analysis · 23%

Topics — the 1 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis › text mining
web text mining		 0.012013
Dirt Cheap Web-Scale Parallel Text from the Common Crawl · ACL (1) 2013

Methods — techniques the papers use, named apart from their topics

bitext mining · 0.2
YearPublicationVenuePosition
2015 Pre-reordering for Statistical Machine Translation of Non-fictional Subtitles
Magdalena Plamada, Gion Linder, Phillip Ströbel, Martin Volk 0001
 EAMT1
2013 Dirt Cheap Web-Scale Parallel Text from the Common Crawl
Jason Smith 0006, Herve Saint-Amand, Magdalena Plamada, Philipp Koehn, Chris Callison-Burch, Adam Lopez
 ACL (1)3