Yu-Yun Chang


2021

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Examine persuasion strategies in Chinese on social media
Yu-Yun Chang | Po-Ya Angela Wang | Han-Tang Hung | Ka-Sîng Khóo | Shu-Kai Hsieh
Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation

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Hidden Advertorial Detection on Social Media in Chinese
Meng-Ching Ho | Ching-Yun Chuang | Yi-Chun Hsu | Yu-Yun Chang
Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing (ROCLING 2021)

Nowadays, there are a lot of advertisements hiding as normal posts or experience sharing in social media. There is little research of advertorial detection on Mandarin Chinese texts. This paper thus aimed to focus on hidden advertorial detection of online posts in Taiwan Mandarin Chinese. We inspected seven contextual features based on linguistic theories in discourse level. These features can be further grouped into three schemas under the general advertorial writing structure. We further implemented these features to train a multi-task BERT model to detect advertorials. The results suggested that specific linguistic features would help extract advertorials.

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Improved Text Classification of Long-term Care Materials
Yi Fan Chiang | Chi-Ling Lee | Heng-Chia Liao | Yi-Ting Tsai | Yu-Yun Chang
Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing (ROCLING 2021)

Aging populations have posed a challenge to many countries including Taiwan, and with them come the issue of long-term care. Given the current context, the aim of this study was to explore the hotly-discussed subtopics in the field of long-term care, and identify its features through NLP. This study applied TF-IDF, the Logistic Regression model, and the Naive Bayes classifier to process data. In sum, the results showed that it reached a best F1-score of 0.920 in identification, and a best accuracy of 0.708 in classification. The results of this study could be used as a reference for future long-term care related applications.

2020

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Do You Believe It Happened? Assessing Chinese Readers’ Veridicality Judgments
Yu-Yun Chang | Shu-Kai Hsieh
Proceedings of the Twelfth Language Resources and Evaluation Conference

This work collects and studies Chinese readers’ veridicality judgments to news events (whether an event is viewed as happening or not). For instance, in “The FBI alleged in court documents that Zazi had admitted having a handwritten recipe for explosives on his computer”, do people believe that Zazi had a handwritten recipe for explosives? The goal is to observe the pragmatic behaviors of linguistic features under context which affects readers in making veridicality judgments. Exploring from the datasets, it is found that features such as event-selecting predicates (ESP), modality markers, adverbs, temporal information, and statistics have an impact on readers’ veridicality judgments. We further investigated that modality markers with high certainty do not necessarily trigger readers to have high confidence in believing an event happened. Additionally, the source of information introduced by an ESP presents low effects to veridicality judgments, even when an event is attributed to an authority (e.g. “The FBI”). A corpus annotated with Chinese readers’ veridicality judgments is released as the Chinese PragBank for further analysis.

2014

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Leveraging Morpho-semantics for the Discovery of Relations in Chinese Wordnet
Shu-Kai Hsieh | Yu-Yun Chang
Proceedings of the Seventh Global Wordnet Conference

2013

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Features of Verb Complements in Co-composition: A case study of Chinese baking verb using Weibo corpus
Yu-Yun Chang | Shu-Kai Hsieh
Proceedings of the 6th International Conference on Generative Approaches to the Lexicon (GL2013)

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Causing Emotion in Collocation:An Exploratory Data Analysis
Pei-Yu Lu | Yu-Yun Chang | Shu-Kai Hsieh
Proceedings of the 25th Conference on Computational Linguistics and Speech Processing (ROCLING 2013)

2012

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Frequency, Collocation, and Statistical Modeling of Lexical Items: A Case Study of Temporal Expressions in Two Conversational Corpora
Sheng-Fu Wang | Jing-Chen Yang | Yu-Yun Chang | Yu-Wen Liu | Shu-Kai Hsieh
International Journal of Computational Linguistics & Chinese Language Processing, Volume 17, Number 2, June 2012—Special Issue on Selected Papers from ROCLING XXIII

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Evaluation of TTS Systems in Intelligibility and Comprehension Tasks: a Case Study of HTS-2008 and Multisyn Synthesizers
Yu-Yun Chang
International Journal of Computational Linguistics & Chinese Language Processing, Volume 17, Number 3, September 2012

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Chinese Sentiments on the Clouds: A Preliminary Experiment on Corpus Processing and Exploration on Cloud Service
Shu-Kai Hsieh | Yu-Yun Chang | Meng-Xian Shih
Proceedings of the 26th Pacific Asia Conference on Language, Information, and Computation

2011

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Evaluation of TTS Systems in Intelligibility and Comprehension Tasks
Yu-Yun Chang
Proceedings of the 23rd Conference on Computational Linguistics and Speech Processing (ROCLING 2011)

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Frequency, Collocation, and Statistical Modeling of Lexical Items: A Case Study of Temporal Expressions in an Elderly Speaker Corpus
Sheng-Fu Wang | Jing-Chen Yang | Yu-Yun Chang | Yu-Wen Liu | Shu-Kai Hsieh
Proceedings of the 23rd Conference on Computational Linguistics and Speech Processing (ROCLING 2011)