Seong-Bae Park

Also published as: Seong Bae Park


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.

2017

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Proceedings of the IJCNLP 2017, System Demonstrations
Seong-Bae Park | Thepchai Supnithi
Proceedings of the IJCNLP 2017, System Demonstrations

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WiseReporter: A Korean Report Generation System
Yunseok Noh | Su Jeong Choi | Seong-Bae Park | Se-Young Park
Proceedings of the IJCNLP 2017, System Demonstrations

We demonstrate a report generation system called WiseReporter. The WiseReporter generates a text report of a specific topic which is usually given as a keyword by verbalizing knowledge base facts involving the topic. This demonstration does not demonstate only the report itself, but also the processes how the sentences for the report are generated. We are planning to enhance WiseReporter in the future by adding data analysis based on deep learning architecture and text summarization.

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)

2006

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Self-Organizing n-gram Model for Automatic Word Spacing
Seong-Bae Park | Yoon-Shik Tae | Se-Young Park
Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics

2005

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Augmentation of Modality Translation Rules in Korean-to-English Machine Translation by Rule Learning
Seong-Bae Park | Jeong-Woo Son | Yoon-Shik Tae
Proceedings of Machine Translation Summit X: Papers

2003

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Text Chunking by Combining Hand-Crafted Rules and Memory-Based Learning
Seong-Bae Park | Byoung-Tak Zhang
Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics

2000

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Machine translation systems: E-K, K-E, J-K, K-J
Yu Seop Kim | Sung Dong Kim | Seong Bae Park | Jong Woo Lee | Jeong Ho Chang | Kyu Baek Hwang | Min O Jang | Yung Taek Kim
Proceedings of the Fourth Conference of the Association for Machine Translation in the Americas: User Studies

We present four kinds of machine translation system in this description: E-K (English to Korean), K-E (Korean to English), J-K (Japanese to Korean), K-J (Korean to Japanese). Among these, E-K and K-J translation systems are published commercially, and the other systems have finished their development. This paper describes the structure and function of each system with figures and translation results.

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Word Sense Disambiguation by Learning from Unlabeled Data
Seong-Bae Park | Byoung-Tak Zhang | Yung Taek Kim
Proceedings of the 38th Annual Meeting of the Association for Computational Linguistics