Demo Data from VLDB 2026 / reviewers in the wild / expert
Shanheng Zhao
dblp:60/3142
· DBLP profile ↗
3ranked-venue papers
3as first author
0since 2021 · last 2010
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 3 first-authorDatabases, data management, data science and information retrieval · 1 · 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 |
Information extraction and text analysis · 67% Machine translation · 33% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Information extraction and text analysis
coreference resolution |
0.1 | 1 | 2007 | Identification and Resolution of Chinese Zero Pronouns: A Machine Learning Approach · EMNLP-CoNLL 2007 |
Natural language and speech › Information extraction and text analysis › coreference resolution
zero pronoun resolution |
0.1 | 1 | 2007 | Identification and Resolution of Chinese Zero Pronouns: A Machine Learning Approach · EMNLP-CoNLL 2007 |
Methods — techniques the papers use, named apart from their topics
machine learning · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | Maximum Metric Score Training for Coreference Resolution
Shanheng Zhao, Hwee Tou Ng |
COLING | 1 |
| 2007 | Identification and Resolution of Chinese Zero Pronouns: A Machine Learning Approach
Shanheng Zhao, Hwee Tou Ng |
EMNLP-CoNLL | 1 |
| 2003 | A High Accuracy Rate Commercial Flight Coupon Recognition SystemabstractIn this paper we introduce a practical flight coupon automatic processing system for scanning and recognition. We discuss the coupon classification, character location and binarization. We emphasize a high performance character segmentation and recognition engine, which are proved very effective. The results of experiment and commercial running applying the system are presented. Shanheng Zhao |
ICDAR | 1 |