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

Kejia Tao

dblp:166/1725 · DBLP profile ↗
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1ranked-venue papers
0as 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 · 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 · 77% Robot manipulation · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis › lexical resources › lexical resource construction
lexicon induction		 0.212015
Environment-Driven Lexicon Induction for High-Level Instructions · ACL (1) 2015

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

environment-driven learning · 0.2
YearPublicationVenuePosition
2015 Environment-Driven Lexicon Induction for High-Level Instructions
abstract
Dipendra Kumar Misra, Kejia Tao, Percy Liang, Ashutosh Saxena. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2015.
Dipendra Misra, Kejia Tao, Percy Liang, Ashutosh Saxena
 ACL (1)2