Search Results for author: Donghyeon Kim

Found 9 papers, 6 papers with code

Efficient dynamic filter for robust and low computational feature extraction

no code implementations3 May 2022 Donghyeon Kim, Gwantae Kim, Bokyeung Lee, Jeong-gi Kwak, David K. Han, Hanseok Ko

However, the performance of the dynamic filter might be degraded since simple feature pooling is used to reduce the computational resource in the IDF part.

Keyword Spotting Speaker Verification

BERN2: an advanced neural biomedical named entity recognition and normalization tool

1 code implementation6 Jan 2022 Mujeen Sung, Minbyul Jeong, Yonghwa Choi, Donghyeon Kim, Jinhyuk Lee, Jaewoo Kang

In biomedical natural language processing, named entity recognition (NER) and named entity normalization (NEN) are key tasks that enable the automatic extraction of biomedical entities (e. g., diseases and chemicals) from the ever-growing biomedical literature.

graph construction named-entity-recognition +2

Adverse Weather Image Translation with Asymmetric and Uncertainty-aware GAN

1 code implementation8 Dec 2021 Jeong-gi Kwak, Youngsaeng Jin, Yuanming Li, Dongsik Yoon, Donghyeon Kim, Hanseok Ko

To address this issue, we propose a novel GAN model, i. e., AU-GAN, which has an asymmetric architecture for adverse domain translation.

Disentanglement Translation

Lightweight dynamic filter for keyword spotting

no code implementations23 Sep 2021 Donghyeon Kim, Kyungdeuk Ko, Jeong-gi Kwak, David K. Han, Hanseok Ko

This lightweight dynamic filter is applied to the front-end of KWS to enhance the separability of the input data.

Keyword Spotting speech-recognition +1

Transferability of Natural Language Inference to Biomedical Question Answering

2 code implementations1 Jul 2020 Minbyul Jeong, Mujeen Sung, Gangwoo Kim, Donghyeon Kim, Wonjin Yoon, Jaehyo Yoo, Jaewoo Kang

We observe that BioBERT trained on the NLI dataset obtains better performance on Yes/No (+5. 59%), Factoid (+0. 53%), List type (+13. 58%) questions compared to performance obtained in a previous challenge (BioASQ 7B Phase B).

Natural Language Inference Question Answering +1

Pre-trained Language Model for Biomedical Question Answering

3 code implementations18 Sep 2019 Wonjin Yoon, Jinhyuk Lee, Donghyeon Kim, Minbyul Jeong, Jaewoo Kang

The recent success of question answering systems is largely attributed to pre-trained language models.

Language Modelling Question Answering

Learning User Preferences and Understanding Calendar Contexts for Event Scheduling

1 code implementation5 Sep 2018 Donghyeon Kim, Jinhyuk Lee, Donghee Choi, Jaehoon Choi, Jaewoo Kang

With online calendar services gaining popularity worldwide, calendar data has become one of the richest context sources for understanding human behavior.

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