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Soh Young In

dblp:375/8124 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2024
—ORCID · unresolved

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

Artificial intelligence and machine learning · 2 · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

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 · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational social science and digital humanities · 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 › document analysis
document structure extraction
0.812024
ReportParse: A Unified NLP Tool for Extracting Document Structure and Semantics of Corporate Sustainability Reporting · IJCAI 2024
Natural language and speech › Information extraction and text analysis › semantic analysis
semantic extraction
0.212024
ReportParse: A Unified NLP Tool for Extracting Document Structure and Semantics of Corporate Sustainability Reporting · IJCAI 2024

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

natural language processing · 1.5
YearPublicationVenuePosition
2024 ReportParse: A Unified NLP Tool for Extracting Document Structure and Semantics of Corporate Sustainability Reporting
Gaku Morio, Soh Young In, Jungah Yoon, Harri Rowlands, Christopher D. Manning
IJCAI2
2024 Deep learning framework for vessel trajectory prediction using auxiliary tasks and convolutional networks
Yuyol Shin, Namwoo Kim, Hyeyeong Lee, Soh Young In, Mark Hansen, Yoonjin Yoon
Eng. Appl. Artif. Intell.4