Chia-Ping Chen


2018

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deepSA2018 at SemEval-2018 Task 1: Multi-task Learning of Different Label for Affect in Tweets
Zi-Yuan Gao | Chia-Ping Chen
Proceedings of The 12th International Workshop on Semantic Evaluation

This paper describes our system implementation for subtask V-oc of SemEval-2018 Task 1: affect in tweets. We use multi-task learning method to learn shared representation, then learn the features for each task. There are five classification models in the proposed multi-task learning approach. These classification models are trained sequentially to learn different features for different classification tasks. In addition to the data released for SemEval-2018, we use datasets from previous SemEvals during system construction. Our Pearson correlation score is 0.638 on the official SemEval-2018 Task 1 test set.

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結合卷積神經網路與遞迴神經網路於推文極性分類 (Combining Convolutional Neural Network and Recurrent Neural Network for Tweet Polarity Classification) [In Chinese]
Chih-Ting Yeh | Chia-Ping Chen
Proceedings of the 30th Conference on Computational Linguistics and Speech Processing (ROCLING 2018)

2017

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Using Teacher-Student Model For Emotional Speech Recognition[In Chinese]
Po-Wei Hsiao | Po-Chen Hsieh | Chia-Ping Chen
Proceedings of the 29th Conference on Computational Linguistics and Speech Processing (ROCLING 2017)

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deepSA at SemEval-2017 Task 4: Interpolated Deep Neural Networks for Sentiment Analysis in Twitter
Tzu-Hsuan Yang | Tzu-Hsuan Tseng | Chia-Ping Chen
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)

In this paper, we describe our system implementation for sentiment analysis in Twitter. This system combines two models based on deep neural networks, namely a convolutional neural network (CNN) and a long short-term memory (LSTM) recurrent neural network, through interpolation. Distributed representation of words as vectors are input to the system, and the output is a sentiment class. The neural network models are trained exclusively with the data sets provided by the organizers of SemEval-2017 Task 4 Subtask A. Overall, this system has achieved 0.618 for the average recall rate, 0.587 for the average F1 score, and 0.618 for accuracy.

2016

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以多層感知器辨識情緒於國台客語料庫 (Use Multilayer Perceptron To Recognize Emotion in Mandarin,Taiwanese and Hakka Database) [In Chinese]
Chia-Hsien Chan | Chia-Ping Chen
Proceedings of the 28th Conference on Computational Linguistics and Speech Processing (ROCLING 2016)

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Support Super-Vector Machines in Automatic Speech Emotion Recognition
Chia-Ying Chen | Chia-Ping Chen
Proceedings of the 28th Conference on Computational Linguistics and Speech Processing (ROCLING 2016)

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標記對於類神經語音情緒辨識系統辨識效果之影響(Effects of Label in Neural Speech Emotion Recognition System)[In Chinese]
Tung-Han Wu | Chia-Ping Chen
Proceedings of the 28th Conference on Computational Linguistics and Speech Processing (ROCLING 2016)

2014

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台灣情緒語料庫建置與辨識 (An Emotional Speech Database in Taiwan: Collection and Recognition) [In Chinese]
Bo-Chang Chiou | Chia-Ping Chen
Proceedings of the 26th Conference on Computational Linguistics and Speech Processing (ROCLING 2014)

2013

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Proceedings of the 25th Conference on Computational Linguistics and Speech Processing (ROCLING 2013)
Hung-Duen Yang | Wen-Lian Hsu | Chia-Ping Chen
Proceedings of the 25th Conference on Computational Linguistics and Speech Processing (ROCLING 2013)

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基於Sphinx 可快速個人化行動數字語音辨識系統 (Quickly Personalizable Mobile Digit Speech Recognition System Based on Sphinx) [In Chinese]
Tsung-Peng Yen | Chia-Ping Chen
Proceedings of the 25th Conference on Computational Linguistics and Speech Processing (ROCLING 2013)

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基於時域上基週同步疊加法之歌聲合成系統 (Singing Voice Synthesis System Based on Time Domain-Pitch Synchronized Overlap and Add) [In Chinese]
Ming-Kuan Wu | Chia-Ping Chen
Proceedings of the 25th Conference on Computational Linguistics and Speech Processing (ROCLING 2013)

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International Journal of Computational Linguistics & Chinese Language Processing, Volume 18, Number 4, December 2013-Special Issue on Selected Papers from ROCLING XXV
Chia-Hui Chang | Chia-Ping Chen | Jia-Ching Wang
International Journal of Computational Linguistics & Chinese Language Processing, Volume 18, Number 4, December 2013-Special Issue on Selected Papers from ROCLING XXV

2012

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應用串接方法於連續變化轉速之四行程引擎聲音合成 (Concatenation-based Method for the Synthesis of Engine Noise with Continuously Varying Speed) [In Chinese]
Ming-Kuan Wu | Chia-Ping Chen
Proceedings of the 24th Conference on Computational Linguistics and Speech Processing (ROCLING 2012)

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International Journal of Computational Linguistics & Chinese Language Processing, Volume 17, Number 4, December 2012-Special Issue on Selected Papers from ROCLING XXIV
Liang-Chih Yu | Richard Tzong-Han Tsai | Chia-Ping Chen | Cheng-Zen Yang | Shu-Kai Hsieh
International Journal of Computational Linguistics & Chinese Language Processing, Volume 17, Number 4, December 2012-Special Issue on Selected Papers from ROCLING XXIV

2011

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Semantic Information and Derivation Rules for Robust Dialogue Act Detection in a Spoken Dialogue System
Wei-Bin Liang | Chung-Hsien Wu | Chia-Ping Chen
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies

2009

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Noise-Robust Speech Features Based on Cepstral Time Coefficients
Ja-Zang Yeh | Chia-Ping Chen
Proceedings of the 21st Conference on Computational Linguistics and Speech Processing

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A Framework for Machine Translation Output Combination
Yi-Chang Chen | Chia-Ping Chen
ROCLING 2009 Poster Papers

2006

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Automatic Learning of Context-Free Grammar
Tai-Hung Chen | Chun-Han Tseng | Chia-Ping Chen
Proceedings of the 18th Conference on Computational Linguistics and Speech Processing

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An Approach to Using the Web as a Live Corpus for Spoken Transliteration Name Access
Ming-Shun Lin | Chia-Ping Chen | Hsin-Hsi Chen
International Journal of Computational Linguistics & Chinese Language Processing, Volume 11, Number 3, September 2006: Special Issue on Selected Papers from ROCLING XVII

2005

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An Approach of Using the Web as a Live Corpus for Spoken Transliteration Name Access
Ming-Shun Lin | Chia-Ping Chen | Hsin-Hsi Chen
Proceedings of the 17th Conference on Computational Linguistics and Speech Processing