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Cheolheon Shin

dblp:254/8067 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—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 · 100%

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 evaluation
coherence modeling
0.412019
Topic-Guided Coherence Modeling for Sentence Ordering by Preserving Global and Local Information · EMNLP/IJCNLP (1) 2019
Natural language and speech › Language models and text generation › text generation › sentence planning
sentence ordering
0.412019
Topic-Guided Coherence Modeling for Sentence Ordering by Preserving Global and Local Information · EMNLP/IJCNLP (1) 2019

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

topic-guided modeling · 0.4
YearPublicationVenuePosition
2019 Topic-Guided Coherence Modeling for Sentence Ordering by Preserving Global and Local Information
abstract
Byungkook Oh, Seungmin Seo, Cheolheon Shin, Eunju Jo, Kyong-Ho Lee. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.
Byungkook Oh, Seungmin Seo, Cheolheon Shin, Eunju Jo, Kyong-Ho Lee
EMNLP/IJCNLP (1)3