6 citations · 9 across the 6 of their papers we have counts for
6 papers
Word segmentation granularity in Korean
Jungyeul Park, Mija Kim
This paper describes word {segmentation} granularity in Korean language processing. From a word separated by blank space, which is termed an eojeol, to a sequence of morphemes in K…
Extrinsic Factors Affecting the Accuracy of Biomedical NER
Zhiyi Li, Shengjie Zhang, Yujie Song +1
Biomedical named entity recognition (NER) is a critial task that aims to identify structured information in clinical text, which is often replete with complex, technical terms and…
K-UniMorph: Korean Universal Morphology and its Feature Schema
Eunkyul Leah Jo, Kyuwon Kim, Xihan Wu +3
We present in this work a new Universal Morphology dataset for Korean. Previously, the Korean language has been underrepresented in the field of morphological paradigms amongst hun…
Korean Named Entity Recognition Based on Language-Specific Features
Yige Chen, KyungTae Lim, Jungyeul Park
In the paper, we propose a novel way of improving named entity recognition in the Korean language using its language-specific features. While the field of named entity recognition…
Yet Another Format of Universal Dependencies for Korean
Yige Chen, Eunkyul Leah Jo, Yundong Yao +4
In this study, we propose a morpheme-based scheme for Korean dependency parsing and adopt the proposed scheme to Universal Dependencies. We present the linguistic rationale that il…
Second-Order Belief Hidden Markov Models
Jungyeul Park, Mouna Chebbah, Siwar Jendoubi +1
Hidden Markov Models (HMMs) are learning methods for pattern recognition. The probabilistic HMMs have been one of the most used techniques based on the Bayesian model. First-order…