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

Kangle Kong

dblp:358/4731 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 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 · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational social science and digital humanities · 100%
Databases, data mining, and information retrieval
1 paper
Data mining · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational social science and digital humanities › legal informatics
legal text analysis		 0.812024
LEEC for Judicial Fairness: A Legal Element Extraction Dataset with Extensive Extra-Legal Labels · IJCAI 2024
Data mining
dataset construction		 0.212024
LEEC for Judicial Fairness: A Legal Element Extraction Dataset with Extensive Extra-Legal Labels · IJCAI 2024
YearPublicationVenuePosition
2024 LEEC for Judicial Fairness: A Legal Element Extraction Dataset with Extensive Extra-Legal Labels
Zongyue Xue, Huanghai Liu, Yiran Hu, Yuliang Qian, Kangle Kong, Chenlu Wang, Weixing Shen
 IJCAI6