Yuen-Hsien Tseng

Also published as: Yuan-Hsien Tseng


2021

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Multi-Label Classification of Chinese Humor Texts Using Hypergraph Attention Networks
Hao-Chuan Kao | Man-Chen Hung | Lung-Hao Lee | Yuen-Hsien Tseng
Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing (ROCLING 2021)

We use Hypergraph Attention Networks (HyperGAT) to recognize multiple labels of Chinese humor texts. We firstly represent a joke as a hypergraph. The sequential hyperedge and semantic hyperedge structures are used to construct hyperedges. Then, attention mechanisms are adopted to aggregate context information embedded in nodes and hyperedges. Finally, we use trained HyperGAT to complete the multi-label classification task. Experimental results on the Chinese humor multi-label dataset showed that HyperGAT model outperforms previous sequence-based (CNN, BiLSTM, FastText) and graph-based (Graph-CNN, TextGCN, Text Level GNN) deep learning models.

2020

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Development and Validation of a Corpus for Machine Humor Comprehension
Yuen-Hsien Tseng | Wun-Syuan Wu | Chia-Yueh Chang | Hsueh-Chih Chen | Wei-Lun Hsu
Proceedings of the 12th Language Resources and Evaluation Conference

This work developed a Chinese humor corpus containing 3,365 jokes collected from over 40 sources. Each joke was labeled with five levels of funniness, eight skill sets of humor, and six dimensions of intent by only one annotator. To validate the manual labels, we trained SVM (Support Vector Machine) and BERT (Bidirectional Encoder Representations from Transformers) with half of the corpus (labeled by one annotator) to predict the skill and intent labels of the other half (labeled by the other annotator). Based on two assumptions that a valid manually labeled corpus should follow, our results showed the validity for the skill and intent labels. As to the funniness label, the validation results showed that the correlation between the corpus label and user feedback rating is marginal, which implies that the funniness level is a harder annotation problem to be solved. The contribution of this work is two folds: 1) a Chinese humor corpus is developed with labels of humor skills, intents, and funniness, which allows machines to learn more intricate humor framing, effect, and amusing level to predict and respond in proper context (https://github.com/SamTseng/Chinese_Humor_MultiLabeled). 2) An approach to verify whether a minimum human labeled corpus is valid or not, which facilitates the validation of low-resource corpora.

2018

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Building a TOCFL Learner Corpus for Chinese Grammatical Error Diagnosis
Lung-Hao Lee | Yuen-Hsien Tseng | Li-Ping Chang
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

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Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications
Yuen-Hsien Tseng | Hsin-Hsi Chen | Vincent Ng | Mamoru Komachi
Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications

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Multilingual Short Text Responses Clustering for Mobile Educational Activities: a Preliminary Exploration
Yuen-Hsien Tseng | Lung-Hao Lee | Yu-Ta Chien | Chun-Yen Chang | Tsung-Yen Li
Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications

Text clustering is a powerful technique to detect topics from document corpora, so as to provide information browsing, analysis, and organization. On the other hand, the Instant Response System (IRS) has been widely used in recent years to enhance student engagement in class and thus improve their learning effectiveness. However, the lack of functions to process short text responses from the IRS prevents the further application of IRS in classes. Therefore, this study aims to propose a proper short text clustering module for the IRS, and demonstrate our implemented techniques through real-world examples, so as to provide experiences and insights for further study. In particular, we have compared three clustering methods and the result shows that theoretically better methods need not lead to better results, as there are various factors that may affect the final performance.

2017

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International Journal of Computational Linguistics & Chinese Language Processing, Volume 22, Number 1, June 2017
Yuen-Hsien Tseng | Jen-Tzung Chien
International Journal of Computational Linguistics & Chinese Language Processing, Volume 22, Number 1, June 2017

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The NTNU System at SemEval-2017 Task 10: Extracting Keyphrases and Relations from Scientific Publications Using Multiple Conditional Random Fields
Lung-Hao Lee | Kuei-Ching Lee | Yuen-Hsien Tseng
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)

This study describes the design of the NTNU system for the ScienceIE task at the SemEval 2017 workshop. We use self-defined feature templates and multiple conditional random fields with extracted features to identify keyphrases along with categorized labels and their relations from scientific publications. A total of 16 teams participated in evaluation scenario 1 (subtasks A, B, and C), with only 7 teams competing in all sub-tasks. Our best micro-averaging F1 across the three subtasks is 0.23, ranking in the middle among all 16 submissions.

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Proceedings of the 4th Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA 2017)
Yuen-Hsien Tseng | Hsin-Hsi Chen | Lung-Hao Lee | Liang-Chih Yu
Proceedings of the 4th Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA 2017)

2016

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The NTNU-YZU System in the AESW Shared Task: Automated Evaluation of Scientific Writing Using a Convolutional Neural Network
Lung-Hao Lee | Bo-Lin Lin | Liang-Chih Yu | Yuen-Hsien Tseng
Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications

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Proceedings of the 3rd Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA2016)
Hsin-Hsi Chen | Yuen-Hsien Tseng | Vincent Ng | Xiaofei Lu
Proceedings of the 3rd Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA2016)

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Proceedings of the 28th Conference on Computational Linguistics and Speech Processing (ROCLING 2016)
Chung-Hsien Wu | Yuen-Hsien Tseng | Hung-Yu Kao
Proceedings of the 28th Conference on Computational Linguistics and Speech Processing (ROCLING 2016)

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International Journal of Computational Linguistics & Chinese Language Processing, Volume 21, Number 1, June 2016
Yuen-Hsien Tseng | Kuang-Hua Chen
International Journal of Computational Linguistics & Chinese Language Processing, Volume 21, Number 1, June 2016

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International Journal of Computational Linguistics & Chinese Language Processing, Volume 21, Number 2, December 2016
Yuen-Hsien Tseng | Jen-Tzung Chien
International Journal of Computational Linguistics & Chinese Language Processing, Volume 21, Number 2, December 2016

2015

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Introduction to SIGHAN 2015 Bake-off for Chinese Spelling Check
Yuen-Hsien Tseng | Lung-Hao Lee | Li-Ping Chang | Hsin-Hsi Chen
Proceedings of the Eighth SIGHAN Workshop on Chinese Language Processing

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Proceedings of the 2nd Workshop on Natural Language Processing Techniques for Educational Applications
Hsin-Hsi Chen | Yuen-Hsien Tseng | Yuji Matsumoto | Lung Hsiang Wong
Proceedings of the 2nd Workshop on Natural Language Processing Techniques for Educational Applications

2014

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A Sentence Judgment System for Grammatical Error Detection
Lung-Hao Lee | Liang-Chih Yu | Kuei-Ching Lee | Yuen-Hsien Tseng | Li-Ping Chang | Hsin-Hsi Chen
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: System Demonstrations

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Overview of SIGHAN 2014 Bake-off for Chinese Spelling Check
Liang-Chih Yu | Lung-Hao Lee | Yuen-Hsien Tseng | Hsin-Hsi Chen
Proceedings of The Third CIPS-SIGHAN Joint Conference on Chinese Language Processing

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Chinese Open Relation Extraction for Knowledge Acquisition
Yuen-Hsien Tseng | Lung-Hao Lee | Shu-Yen Lin | Bo-Shun Liao | Mei-Jun Liu | Hsin-Hsi Chen | Oren Etzioni | Anthony Fader
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers

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International Journal of Computational Linguistics & Chinese Language Processing, Volume 19, Number 1, March 2014
Yuen-Hsien Tseng | Kuang-hua Chen
International Journal of Computational Linguistics & Chinese Language Processing, Volume 19, Number 1, March 2014

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International Journal of Computational Linguistics & Chinese Language Processing, Volume 19, Number 2, June 2014
Yuen-Hsien Tseng | Kuang-hua Chen
International Journal of Computational Linguistics & Chinese Language Processing, Volume 19, Number 2, June 2014

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International Journal of Computational Linguistics & Chinese Language Processing, Volume 19, Number 3, September 2014
Yuen-Hsien Tseng | Kuang-hua Chen
International Journal of Computational Linguistics & Chinese Language Processing, Volume 19, Number 3, September 2014

2013

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International Journal of Computational Linguistics & Chinese Language Processing, Volume 18, Number 1, March 2013
Yuen-Hsien Tseng | Kuang-hua Chen
International Journal of Computational Linguistics & Chinese Language Processing, Volume 18, Number 1, March 2013

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Proceedings of the Seventh SIGHAN Workshop on Chinese Language Processing
Liang-Chih Yu | Yuen-Hsien Tseng | Jingbo Zhu | Fuji Ren
Proceedings of the Seventh SIGHAN Workshop on Chinese Language Processing

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Automatic Detection and Correction for Chinese Misspelled Words Using Phonological and Orthographic Similarities
Tao-Hsing Chang | Hsueh-Chih Chen | Yuen-Hsien Tseng | Jian-Liang Zheng
Proceedings of the Seventh SIGHAN Workshop on Chinese Language Processing

2012

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Traditional Chinese Parsing Evaluation at SIGHAN Bake-offs 2012
Yuen-Hsien Tseng | Lung-Hao Lee | Liang-Chih Yu
Proceedings of the Second CIPS-SIGHAN Joint Conference on Chinese Language Processing

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International Journal of Computational Linguistics & Chinese Language Processing, Volume 17, Number 1, March 2012
Yuen-Hsien Tseng | Kuang-hua Chen
International Journal of Computational Linguistics & Chinese Language Processing, Volume 17, Number 1, March 2012

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International Journal of Computational Linguistics & Chinese Language Processing, Volume 17, Number 3, September 2012
Yuen-Hsien Tseng | Kuang-hua Chen
International Journal of Computational Linguistics & Chinese Language Processing, Volume 17, Number 3, September 2012

2011

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International Journal of Computational Linguistics & Chinese Language Processing, Volume 16, Number 1-2, March/June 2011
Yuen-Hsien Tseng | Kuang-hua Chen
International Journal of Computational Linguistics & Chinese Language Processing, Volume 16, Number 1-2, March/June 2011

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International Journal of Computational Linguistics & Chinese Language Processing, Volume 16, Number 3-4, September/December 2011
Yuen-Hsien Tseng | Kuang-hua Chen
International Journal of Computational Linguistics & Chinese Language Processing, Volume 16, Number 3-4, September/December 2011

2010

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以共現資訊為基礎增進中學英漢翻譯試題與解答之詞彙對列 (Using Co-Occurrence Information to Improve Chinese-English Word Alignment in Translation Test Items for High School Students) [In Chinese]
Chao-Shainn Huang | Yu-Chi Chang | Chao-Lin Liu | Yuan-Hsien Tseng
Proceedings of the 22nd Conference on Computational Linguistics and Speech Processing (ROCLING 2010)

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International Journal of Computational Linguistics & Chinese Language Processing, Volume 15, Number 1, March 2010
Yuen-Hsien Tseng | Kuang-hua Chen
International Journal of Computational Linguistics & Chinese Language Processing, Volume 15, Number 1, March 2010

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International Journal of Computational Linguistics & Chinese Language Processing, Volume 15, Number 2, June 2010
Yuen-Hsien Tseng | Kuang-hua Chen
International Journal of Computational Linguistics & Chinese Language Processing, Volume 15, Number 2, June 2010

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International Journal of Computational Linguistics & Chinese Language Processing, Volume 15, Number 3-4, September/December 2010
Yuen-Hsien Tseng | Kuang-hua Chen
International Journal of Computational Linguistics & Chinese Language Processing, Volume 15, Number 3-4, September/December 2010

2009

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中英文專利文書之文句對列 (Sentence alignment of English and Chinese patent documents) [In Chinese]
Kan-Wen Tien | Yuen-Hsien Tseng | Chao-Lin Liu
Proceedings of the 21st Conference on Computational Linguistics and Speech Processing

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專利雙語語料之中、英對照詞自動擷取 (Automatic Term Pair Extraction from Bilingual Patent Corpus) [In Chinese]
Yuen-Hsien Tseng | Chao-Lin Liu | Ze-Jing Chuang
ROCLING 2009 Poster Papers

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Summarization Assistant for News Brief Services on Cellular Phones
Yuen-Hsien Tseng
International Journal of Computational Linguistics & Chinese Language Processing, Volume 14, Number 1, March 2009

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International Journal of Computational Linguistics & Chinese Language Processing, Volume 14, Number 3, September 2009
Yuen-Hsien Tseng | Kuang-Hua Chen
International Journal of Computational Linguistics & Chinese Language Processing, Volume 14, Number 3, September 2009

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International Journal of Computational Linguistics & Chinese Language Processing, Volume 14, Number 4, December 2009
Yuen-Hsien Tseng | Kuang-Hua Chen
International Journal of Computational Linguistics & Chinese Language Processing, Volume 14, Number 4, December 2009

2004

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中文手機新聞簡訊自動摘要 (Automated Summarization for Chinese News Brief Service in Cellular Phones) [In Chinese]
Yuen-Hsien Tseng
Proceedings of the 16th Conference on Computational Linguistics and Speech Processing

2003

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文件自我擴展於自動分類之應用 (Application of Document Self-Expansion to Text Categorization) [In Chinese]
Yuen-Hsien Tseng | Da-Wei Juang
Proceedings of Research on Computational Linguistics Conference XV