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Yan Chuan Sim

dblp:16/9924 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none

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

Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 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 · 67% Efficient and distributed learning · 33%

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

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis › text normalization
acronym expansion
0.112011
Entity Linking with Effective Acronym Expansion, Instance Selection, and Topic Modeling · IJCAI 2011
Natural language and speech › Information extraction and text analysis
entity linking
0.112011
Entity Linking with Effective Acronym Expansion, Instance Selection, and Topic Modeling · IJCAI 2011
Machine learning › Efficient and distributed learning › data selection
instance selection
0.112011
Entity Linking with Effective Acronym Expansion, Instance Selection, and Topic Modeling · IJCAI 2011

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

topic modeling · 0.1
YearPublicationVenuePosition
2011 Entity Linking with Effective Acronym Expansion, Instance Selection, and Topic Modeling
abstract
10.5591/978-1-57735-516-8/IJCAI11-319
Wei Zhang 0038, Yan Chuan Sim, Jian Su 0002, Chew Lim Tan
IJCAI2