Hyun Kim


2022

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ANNA”:" Enhanced Language Representation for Question Answering
Changwook Jun | Hansol Jang | Myoseop Sim | Hyun Kim | Jooyoung Choi | Kyungkoo Min | Kyunghoon Bae
Proceedings of the 7th Workshop on Representation Learning for NLP

Pre-trained language models have brought significant improvements in performance in a variety of natural language processing tasks. Most existing models performing state-of-the-art results have shown their approaches in the separate perspectives of data processing, pre-training tasks, neural network modeling, or fine-tuning. In this paper, we demonstrate how the approaches affect performance individually, and that the language model performs the best results on a specific question answering task when those approaches are jointly considered in pre-training models. In particular, we propose an extended pre-training task, and a new neighbor-aware mechanism that attends neighboring tokens more to capture the richness of context for pre-training language modeling. Our best model achieves new state-of-the-art results of 95.7% F1 and 90.6% EM on SQuAD 1.1 and also outperforms existing pre-trained language models such as RoBERTa, ALBERT, ELECTRA, and XLNet on the SQuAD 2.0 benchmark.

2019

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QE BERT: Bilingual BERT Using Multi-task Learning for Neural Quality Estimation
Hyun Kim | Joon-Ho Lim | Hyun-Ki Kim | Seung-Hoon Na
Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)

For translation quality estimation at word and sentence levels, this paper presents a novel approach based on BERT that recently has achieved impressive results on various natural language processing tasks. Our proposed model is re-purposed BERT for the translation quality estimation and uses multi-task learning for the sentence-level task and word-level subtasks (i.e., source word, target word, and target gap). Experimental results on Quality Estimation shared task of WMT19 show that our systems show competitive results and provide significant improvements over the baseline.

2017

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Predictor-Estimator using Multilevel Task Learning with Stack Propagation for Neural Quality Estimation
Hyun Kim | Jong-Hyeok Lee | Seung-Hoon Na
Proceedings of the Second Conference on Machine Translation

2016

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Recurrent Neural Network based Translation Quality Estimation
Hyun Kim | Jong-Hyeok Lee
Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers

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A Recurrent Neural Networks Approach for Estimating the Quality of Machine Translation Output
Hyun Kim | Jong-Hyeok Lee
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies