Jui-Feng Yeh


2017

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NCYU at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases using Vector Representations
Jui-Feng Yeh | Jian-Cheng Tsai | Bo-Wei Wu | Tai-You Kuang
Proceedings of the IJCNLP 2017, Shared Tasks

This paper presents two vector representations proposed by National Chiayi University (NCYU) about phrased-based sentiment detection which was used to compete in dimensional sentiment analysis for Chinese phrases (DSACP) at IJCNLP 2017. The vector-based sentiment phraselike unit analysis models are proposed in this article. E-HowNet-based clustering is used to obtain the values of valence and arousal for sentiment words first. An out-of-vocabulary function is also defined in this article to measure the dimensional emotion values for unknown words. For predicting the corresponding values of sentiment phrase-like unit, a vectorbased approach is proposed here. According to the experimental results, we can find the proposed approach is efficacious.

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Chinese Spelling Check based on N-gram and String Matching Algorithm
Jui-Feng Yeh | Li-Ting Chang | Chan-Yi Liu | Tsung-Wei Hsu
Proceedings of the 4th Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA 2017)

This paper presents a Chinese spelling check approach based on language models combined with string match algorithm to treat the problems resulted from the influence caused by Cantonese mother tone. N-grams first used to detecting the probability of sentence constructed by the writers, a string matching algorithm called Knuth-Morris-Pratt (KMP) Algorithm is used to detect and correct the error. According to the experimental results, the proposed approach can detect the error and provide the corresponding correction.

2016

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Grammatical Error Detection Based on Machine Learning for Mandarin as Second Language Learning
Jui-Feng Yeh | Tsung-Wei Hsu | Chan-Kun Yeh
Proceedings of the 3rd Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA2016)

Mandarin is not simple language for foreigner. Even using Mandarin as the mother tongue, they have to spend more time to learn when they were child. The following issues are the reason why causes learning problem. First, the word is envolved by Hieroglyphic. So a character can express meanings independently, but become a word has another semantic. Second, the Mandarin’s grammars have flexible rule and special usage. Therefore, the common grammatical errors can classify to missing, redundant, selection and disorder. In this paper, we proposed the structure of the Recurrent Neural Networks using Long Short-term memory (RNN-LSTM). It can detect the error type from the foreign learner writing. The features based on the word vector and part-of-speech vector. In the test data found that our method in the detection level of recall better than the others, even as high as 0.9755. That is because we give the possibility of greater choice in detecting errors.

2015

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Automatic Classification of the “De” Word Usage for Chinese as a Foreign Language
Jui-Feng Yeh | Chan-Kun Yeh
International Journal of Computational Linguistics & Chinese Language Processing, Volume 20, Number 1, June 2015-Special Issue on Chinese as a Foreign Language

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Condition Random Fields-based Grammatical Error Detection for Chinese as Second Language
Jui-Feng Yeh | Chan-Kun Yeh | Kai-Hsiang Yu | Ya-Ting Li | Wan-Ling Tsai
Proceedings of the 2nd Workshop on Natural Language Processing Techniques for Educational Applications

2014

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Chinese Word Spelling Correction Based on Rule Induction
Jui-Feng Yeh | Yun-Yun Lu | Chen-Hsien Lee | Yu-Hsiang Yu | Yong-Ting Chen
Proceedings of The Third CIPS-SIGHAN Joint Conference on Chinese Language Processing

2013

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以狄式分佈為基礎之多語聲學模型拆分及合併 (Multilingual Acoustic Model Splitting and Merging by Latent Dirichlet Allocation) [In Chinese]
Jui-Feng Yeh | Sheng-Feng Li | Shi-Sheng Shiu
Proceedings of the 25th Conference on Computational Linguistics and Speech Processing (ROCLING 2013)

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Response Generation Based on Hierarchical Semantic Structure with POMDP Re-ranking for Conversational Dialogue Systems
Jui-Feng Yeh | Yuan-Cheng Chu
Proceedings of the Seventh SIGHAN Workshop on Chinese Language Processing

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Chinese Word Spelling Correction Based on N-gram Ranked Inverted Index List
Jui-Feng Yeh | Sheng-Feng Li | Mei-Rong Wu | Wen-Yi Chen | Mao-Chuan Su
Proceedings of the Seventh SIGHAN Workshop on Chinese Language Processing

2012

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Hierarchical Maximum Pattern Matching with Rule Induction Approach for Sentence Parsing
Yi-Syun Tan | Yuan-Cheng Chu | Jui-Feng Yeh
Proceedings of the Second CIPS-SIGHAN Joint Conference on Chinese Language Processing

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以音韻屬性偵測擷取對話語音關鍵詞之研究 (Study on Keyword Spotting using Prosodic Attribute Detection for Conversational Speech) [In Chinese]
Yu-Jui Huang | Yin-Wei Chung | Jui-Feng Yeh
Proceedings of the 24th Conference on Computational Linguistics and Speech Processing (ROCLING 2012)

2011

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結合語言模型與網路知識源於列印前檢查 (Print Pickets Combined Language Models and Knowledge Resources in Web) [In Chinese]
Yu-Jui Huang | Ming-Chin Yen | Guan-Huei Wu | Yao-Yi Wang | Jui-Feng Yeh
ROCLING 2011 Poster Papers

2010

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Discriminative Training for Near-Synonym Substitution
Liang-Chih Yu | Hsiu-Min Shih | Yu-Ling Lai | Jui-Feng Yeh | Chung-Hsien Wu
Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010)

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結合音長與發音特徵於GTB 之腔調化語音辨識 (Accented Speech Recognition based on Gradient Tree Boosting with Duration and Articulation Features) [In Chinese]
Ming-chin Yen | Po-San Lai | Jui-Feng Yeh
ROCLING 2010 Poster Papers

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Word Sense Disambiguation Using Multiple Contextual Features
Liang-Chih Yu | Chung-Hsien Wu | Jui-Feng Yeh
International Journal of Computational Linguistics & Chinese Language Processing, Volume 15, Number 3-4, September/December 2010

2008

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Corpus Cleanup of Mistaken Agreement Using Word Sense Disambiguation
Liang-Chih Yu | Chung-Hsien Wu | Jui-Feng Yeh | Eduard Hovy
International Journal of Computational Linguistics & Chinese Language Processing, Volume 13, Number 4, December 2008

2006

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Stochastic Discourse Modeling in Spoken Dialogue Systems Using Semantic Dependency Graphs
Jui-Feng Yeh | Chung-Hsien Wu | Mao-Zhu Yang
Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions

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應用不定長度特徵之條件隨機域於口語不流暢語流修正 (Disfluency Correction of Spontaneous Speech using Conditional Random Fields with Variable Length Features) [In Chinese]
Jui-Feng Yeh | Wei-Yen Wu | Chung-Hsien Wu
Proceedings of the 18th Conference on Computational Linguistics and Speech Processing

2005

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Automated Alignment and Extraction of a Bilingual Ontology for Cross-Language Domain-Specific Applications
Jui-Feng Yeh | Chung-Hsien Wu | Ming-Jun Chen | Liang-Chih Yu
International Journal of Computational Linguistics & Chinese Language Processing, Volume 10, Number 1, March 2005

2004

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Automated Alignment and Extraction of Bilingual Domain Ontology for Cross-Language Domain-Specific Applications
Jui-Feng Yeh | Chung-Hsien Wu | Ming-Jun Chen | Liang-Chih Yu
COLING 2004: Proceedings of the 20th International Conference on Computational Linguistics

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Automated Alignment and Extraction of Bilingual Domain Ontology for Medical Domain Web Search
Jui-Feng Yeh | Chung-Hsien Wu | Ming-Jun Chen | Liang-chih Yu
Proceedings of the Third SIGHAN Workshop on Chinese Language Processing

2003

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以知識概念模型為基礎之多主題對話管理系統 (Ontology-Based Dialog Management for Multiple Service Integration) [In Chinese]
Ming-Jun Chen | Jui-Feng Yeh | Chung-Hsien Wu
Proceedings of Research on Computational Linguistics Conference XV

1995

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應用於”音中仙”國語聽寫機之短語規則分析與建立(A study on rules of collocations for mandarin dictation system “Sound of Venus”) [In Chinese]
Jui-Feng Yeh | Jhing-Fa Wang | Jyh-Shing Hsu
Proceedings of Rocling VIII Computational Linguistics Conference VIII