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

Penka Markova

dblp:62/466 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2004
—ORCID · none

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

Artificial intelligence and machine learning · 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.

Artificial intelligence
1 paper
Information extraction and text analysis · 100%
Theoretical computer science
1 paper
Automata and formal languages · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis › syntactic parsing › syntactic disambiguation
parse selection		 0.012004
The Leaf Path Projection View of Parse Trees: Exploring String Kernels for HPSG Parse Selection · EMNLP 2004
Natural language and speech › Information extraction and text analysis
syntactic parsing		 0.012004
The Leaf Path Projection View of Parse Trees: Exploring String Kernels for HPSG Parse Selection · EMNLP 2004
Automata and formal languages
grammar formalisms		 0.012004
The Leaf Path Projection View of Parse Trees: Exploring String Kernels for HPSG Parse Selection · EMNLP 2004
Automata and formal languages › grammar formalisms
head-driven phrase structure grammar		 0.012004
The Leaf Path Projection View of Parse Trees: Exploring String Kernels for HPSG Parse Selection · EMNLP 2004

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

leaf path projection · 0.1string kernels · 0.0string kernel · 0.0
YearPublicationVenuePosition
2004 The Leaf Path Projection View of Parse Trees: Exploring String Kernels for HPSG Parse Selection
Kristina Toutanova, Penka Markova, Christopher D. Manning
 EMNLP2