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

Jing Xian Wang

dblp:180/5653 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—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 · 50% Language models and text generation · 50%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computing education · 100%

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

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis › data annotation › corpus annotation
syntactic annotation		 0.212016
Universal Dependencies for Learner English · ACL (1) 2016
Natural language and speech › Language models and text generation › grammar formalisms
universal dependencies		 0.212016
Universal Dependencies for Learner English · ACL (1) 2016
YearPublicationVenuePosition
2016 Universal Dependencies for Learner English
abstract
Yevgeni Berzak, Jessica Kenney, Carolyn Spadine, Jing Xian Wang, Lucia Lam, Keiko Sophie Mori, Sebastian Garza, Boris Katz. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2016.
Yevgeni Berzak, Jessica Kenney, Carolyn Spadine, Jing Xian Wang, Lucia Lam, Keiko Sophie Mori, Sebastian Garza, Boris Katz
 ACL (1)4