• 984 Citations
  • 16 h-Index
19982019
If you made any changes in Pure these will be visible here soon.

Fingerprint Dive into the research topics where Hae-Chang Rim is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 2 Similar Profiles
Syntactics Engineering & Materials Science
Semantics Engineering & Materials Science
Experiments Engineering & Materials Science
Linguistics Engineering & Materials Science
Classifiers Engineering & Materials Science
Glossaries Engineering & Materials Science
Word Sense Disambiguation Mathematics
Learning systems Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1998 2019

  • 984 Citations
  • 16 h-Index
  • 61 Article
  • 45 Conference contribution

Learning to rank products based on online product reviews using a hierarchical deep neural network

Lee, H. C., Rim, H-C. & Lee, D. G., 2019 Jul 1, In : Electronic Commerce Research and Applications. 36, 100874.

Research output: Contribution to journalArticle

Sales
Semantics
Neural networks
Product review
Ranking

Narrative context-based data-to-text generation for ambient intelligence

Jang, J., Noh, H., Lee, Y., Pantel, S. M. & Rim, H-C., 2019 Jan 1, (Accepted/In press) In : Journal of Ambient Intelligence and Humanized Computing.

Research output: Contribution to journalArticle

Finance
Sports
Ambient intelligence
Internet
Experiments
1 Citation (Scopus)

Business environmental analysis for textual data using data mining and sentence-level classification

Kim, Y. S., Rim, H-C. & Lee, D. G., 2018 Jan 1, (Accepted/In press) In : Industrial Management and Data Systems.

Research output: Contribution to journalArticle

Data mining
Industry
Supervised learning
Learning systems
Managers

An all-words sense tagging method for resource-deficient languages

Yi, B. J., Lee, D. G. & Rim, H-C., 2017 Sep 1, In : Digital Scholarship in the Humanities. 32, 3, p. 672-688 17 p.

Research output: Contribution to journalArticle

Glossaries
language
resources
dictionary
Semantics
5 Citations (Scopus)

A novel density-based clustering method using word embedding features for dialogue intention recognition

Jang, J., Lee, Y., Lee, S., Shin, D., Kim, D. & Rim, H-C., 2016 Dec 1, In : Cluster Computing. 19, 4, p. 2315-2326 12 p.

Research output: Contribution to journalArticle

Personnel