Hyun-Je Song


2019

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Korean Morphological Analysis with Tied Sequence-to-Sequence Multi-Task Model
Hyun-Je Song | Seong-Bae Park
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Korean morphological analysis has been considered as a sequence of morpheme processing and POS tagging. Thus, a pipeline model of the tasks has been adopted widely by previous studies. However, the model has a problem that it cannot utilize interactions among the tasks. This paper formulates Korean morphological analysis as a combination of the tasks and presents a tied sequence-to-sequence multi-task model for training the two tasks simultaneously without any explicit regularization. The experiments prove the proposed model achieves the state-of-the-art performance.

2016

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A Translation-Based Knowledge Graph Embedding Preserving Logical Property of Relations
Hee-Geun Yoon | Hyun-Je Song | Seong-Bae Park | Se-Young Park
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

2014

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Device-Dependent Readability for Improved Text Understanding
A-Yeong Kim | Hyun-Je Song | Seong-Bae Park | Sang-Jo Lee
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)

2013

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A Just-In-Time Keyword Extraction from Meeting Transcripts
Hyun-Je Song | Junho Go | Seong-Bae Park | Se-Young Park
Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

2012

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A Cost Sensitive Part-of-Speech Tagging: Differentiating Serious Errors from Minor Errors
Hyun-Je Song | Jeong-Woo Son | Tae-Gil Noh | Seong-Bae Park | Sang-Jo Lee
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)