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

Chen Hui Ong

dblp:203/9620 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2017
—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
Language models and text generation · 77% Deep learning architectures and training · 23%

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

TopicWeightPapersLastEvidence papers
Natural language and speech › Language models and text generation › text summarization
sentence compression		 0.312017
Can Syntax Help? Improving an LSTM-based Sentence Compression Model for New Domains · ACL (1) 2017
Machine learning › Deep learning architectures and training › recurrent neural network
LSTM		 0.112017
Can Syntax Help? Improving an LSTM-based Sentence Compression Model for New Domains · ACL (1) 2017

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

syntactic features · 0.3domain adaptation · 0.3
YearPublicationVenuePosition
2017 Can Syntax Help? Improving an LSTM-based Sentence Compression Model for New Domains
abstract
Liangguo Wang, Jing Jiang, Hai Leong Chieu, Chen Hui Ong, Dandan Song, Lejian Liao. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2017.
Liangguo Wang, Jing Jiang 0001, Hai Leong Chieu, Chen Hui Ong, Lejian Liao
 ACL (1)4