NTCIR-9 Table of Contents [Pdf]

[Preface]

• Preface from NTCIR-9 General Chairs
  Noriko Kando, Tsuneaki Kato and Eiichiro Sumita
  [Pdf] [Abstract]
  
  

  [Overview]

• Overview of NTCIR-9
  Tetsuya Sakai and Hideo Joho
  [Pdf] [Slides] [Abstract]
  
  

  [Keynote]

• Natural Language Understanding, Semantic-based Information Retrieval and Knowledge Management
  Jun'ichi Tsujii
  [Pdf] [Abstract]
  
  

  [Invited Talks]

• Principles for Robust Evaluation Infrastructure
  Mark Sanderson and  William Webber
  [Pdf (added on 20111206)] [Slides]

• Information Retrieval Experimentation with Terrier: Scaling Up in Size and Language Support
  Iadh Ounis
  [Pdf (added on 20111206)]

  
  Core Tasks

  
  

  [GeoTime]

• NTCIR9-GeoTime Overview - Evaluating Geographic and Temporal Search: Round 2
  Fredric Gey, Ray R. Larson, Jorge Machado and Masaharu Yoshioka
  [Pdf] [Abstract]
  
  
• The Use of Inference Network Models in NTCIR-9 GeoTime
  Christopher G. Harris
  [Pdf] [Abstract]
  
  
• Geo-temporal Information Retrieval Based on Semantic Role Labeling and Rank Aggregation
  Yoonjae Jeong, Gwan Jang, Kyung-min Kim and Sung-Hyon Myaeng
  [Pdf] [Poster] [Slides] [Abstract]
  
  
• Modification of Vocabulary-based Re-ranking for Geographic and Temporal Searching at NTCIR GeoTime Task
  Kazuaki Kishida and Ikuko Matsushita
  [Pdf] [Abstract]
  
  
• Probabilistic Text Retrieval for NTCIR9 GeoTime
  Ray R. Larson
  [Pdf] [Abstract]
  
  
• Geo-Temporal retrieval filtering versus answer resolution using Wikipedia
  Jorge Machado, José Borbinha and Bruno Martins
  [Pdf] [Abstract]
  
  
• SINAI at NTCIR-9 GeoTime: a filtering and reranking approach based solely on geographical entities
  José M. Perea-Ortega, Miguel Ángel García-Cumbreras, Manuel García-Vega and L. Alfonso Ureña-López
  [Pdf] [Slides] [Abstract]
  
  
• University of Alicante at NTCIR-9 GeoTime
  Fernando S. Peregrino, David Tomás and Fernando Llopis Pascual
  [Pdf] [Abstract]
  
  
• NTCIR-9 GeoTime at Osaka Kyoiku University - Toward Automatic Extraction of Place/Time Terms -
  Takashi Sato
  [Pdf] [Slides] [Abstract]
  
  
• GeoTime Retrieval through Passage-based Learning to Rank
  Xiao-Lin Wang, Hai Zhao and Bao-Liang Lu
  [Pdf] [Poster] [Abstract]
  
  
• RMIT and Gunma University at NTCIR-9 GeoTime Task
  Michiko Yasukawa, J. Shane Culpepper, Falk Scholer and Matthias Petri
  [Pdf] [Abstract]
  
  
• ABRIR at NTCIR-9 GeoTime Task Usage of Wikipedia and GeoNames for Handling Named Entity Information
  Masaharu Yoshioka
  [Pdf] [Poster] [Abstract]
  
  
  

  [INTENT]

• Overview of the NTCIR-9 INTENT Task
  Ruihua Song, Min Zhang, Tetsuya Sakai, Makoto P. Kato, Yiqun Liu, Miho Sugimoto, Qinglei Wang and Naoki Orii
  [Pdf] [Abstract]
  
  
• ICTIR Subtopic Mining System at NTCIR-9 INTENT Task
  Shuai Zhang, Kai Lu and Bin Wang
  [Pdf] [Poster] [Slides] [Abstract]
  
  
• University of Glasgow at the NTCIR-9 Intent task: Experiments with Terrier on Subtopic Mining and Document Ranking
  Rodrygo L. T. Santos, Craig Macdonald and Iadh Ounis
  [Pdf] [Abstract]
  
  
• Microsoft Research Asia at the NTCIR-9 Intent Task
  Jialong Han, Qinglei Wang, Naoki Orii, Zhicheng Dou, Tetsuya Sakai and Ruihua Song
  [Pdf] [Abstract]
  
  
• THUIR at NTCIR-9 INTENT Task
  Yufei Xue, Fei Chen, Tong Zhu, Chao Wang, Zhichao Li, Yiqun Liu, Min Zhang, Yijiang Jin and Shaoping Ma
  [Pdf] [Poster] [Slides] [Abstract]
  
  
• NTU Approaches to Subtopic Mining and Document Ranking at NTCIR-9 Intent Task
  Chieh-Jen Wang, Yung-Wei Lin, Ming-Feng Tsai and Hsin-Hsi Chen
  [Pdf] [Abstract]
  
  
• The KLE’s Subtopic Mining System for the NTCIR-9 INTENT Task
  Se-Jong Kim, Hwidong Na and Jong-Hyeok Lee
  [Pdf] [Poster] [Abstract]
  
  
• Qualifier Mining for NTCIR-INTENT
  Haitao Yu, Fuji Ren and Song Liu
  [Pdf] [Abstract]
  
  
• RMIT and Gunma University at NTCIR-9 Intent Task
  Michiko Yasukawa, J. Shane Culpepper, Falk Scholer and Matthias Petri
  [Pdf] [Abstract]
  
  
• Redundancy Removal to Selectively Diversify Information Retrieval Results
  Xiao-Lin Wang, Hai Zhao and Bao-Liang Lu
  [Pdf] [Poster] [Abstract]
  
  
• UWaterloo at NTCIR-9: Intent discovery with anchor text
  John A. Akinyemi and Charles L.A. Clarke
  [Pdf] [Poster] [Abstract]
  
  
• HITSCIR System in NTCIR-9 Subtopic Mining Task
  Wei Song, Yu Zhang, Handong Gao, Ting Liu and Sheng Li
  [Pdf] [Abstract]
  
  
• The Report on Subtopic Mining and Document Ranking of NTCIR-9 Intent Task
  Wei-Lun Xiao, Shih-Hung Wu, Liang-Pu Chen and Tsun Ku
  [Pdf] [Abstract]
  
  
• ISCAS at Subtopic Mining Task in NTCIR9
  Xue Jiang, Xianpei Han and Le Sun
  [Pdf] [Poster] [Abstract]
  
  
• Mining Search Subtopics from Query Logs
  Dan Zhu, Jianwei Cui, Jun He, Xiaoyong Du and Hongyan Liu
  [Pdf] [Poster] [Abstract]
  
  
• HIT² Joint NLP Lab at the NTCIR-9 Intent Task
  Dongqing Xiao, Haoliang Qi, Jingbin Gao, Zhongyuan Han, Muyun Yang and Sheng Li
  [Pdf] [Abstract]
  
  
  
• Overview of NTCIR-9 1CLICK
  Tetsuya Sakai, Makoto P. Kato and Young-In Song
  [Pdf] [Poster] [Slides] [Abstract]
  
  
• Information Extraction based Approach for the NTCIR-9 1CLICK Task
  Makoto P. Kato, Meng Zhao, Kosetsu Tsukuda, Yoshiyuki Shoji, Takehiro Yamamoto, Hiroaki Ohshima and Katsumi Tanaka
  [Pdf] [Poster] [Slides] [Abstract]
  
  
• TTOKU Summarization Based Systems at NTCIR-9 1CLICK task
  Hajime Morita, Takuya Makino, Tetsuya Sakai, Hiroya Takamura and Manabu Okumura
  [Pdf] [Abstract]
  
  
• Microsoft Research Asia at the NTCIR-9 1CLICK Task
  Naoki Orii, Young-In Song and Tetsuya Sakai
  [Pdf] [Abstract]
  
  
  

  [SpokenDoc]

• Overview of the IR for Spoken Documents Task in NTCIR-9 Workshop
  Tomoyosi Akiba, Hiromitsu Nishizaki, Kiyoaki Aikawa, Tatsuya Kawahara and Tomoko Matsui
  [Pdf] [Slides] [Abstract]
  
  
• Spoken Term Detection Using Multiple Speech Recognizers’ Outputs at NTCIR-9 SpokenDoc STD subtask
  Hiromitsu Nishizaki, Yuto Furuya, Satoshi Natori and Yoshihiro Sekiguchi
  [Pdf] [Revised Paper Pdf 20111212] [Poster] [Slides] [Abstract]
  
  
• High speed spoken term detection by combination of n-gram array of a syllable lattice and LVCSR result for NTCIR-SpokenDoc
  Keisuke Iwami and Seiichi Nakagawa
  [Pdf] [Abstract]
  
  
• Spoken document retrieval method combining query expansion with continuous syllable recognition for NTCIR-SpokenDoc
  Satoru Tsuge, Hiromasa Ohashi, Norihide Kitaoka, Kazuya Takeda and Kenji Kita
  [Pdf] [Abstract]
  
  
• DCU at the NTCIR-9 SpokenDoc Passage Retrieval Task
  Maria Eskevich and Gareth J. F. Jones
  [Pdf] [Poster] [Slides] [Abstract]
  
  
• Toward improvement of SDR accuracy using LDA and query expansion for SpokenDoc
  Kiichi Hasegawa, Hideki Sekiya, Masanori Takehara, Taro Niinomi, Satoshi Tamura and Satoru Hayamizu
  [Pdf] [Abstract]
  
  
• STD based on Hough Transform and SDR using STD results: Experiments at NTCIR-9 SpokenDoc
  Taisuke Kaneko, Tomoko Takigami and Tomoyosi Akiba
  [Pdf] [Abstract]
  
  
• Utilization of Suffix Array for Quick STD and Its Evaluation on the NTCIR-9 SpokenDoc Task
  Kouichi Katsurada, Koudai Katsuura, Yurie Iribe and Tsuneo Nitta
  [Pdf] [Abstract]
  
  
• Spoken Document Retrieval Experiments for SpokenDoc at Ryukoku University (RYSDT)
  Hiroaki Nanjo, Kazuyuki Noritake and Takehiko Yoshimi
  [Pdf] [Abstract]
  
  
• An STD system for OOV query terms using various subword units
  Hiroyuki Saito, Takuya Nakano, Shirou Narumi, Toshiaki Chiba, Kazuma Kon'no and Yoshiaki Itoh
  [Pdf] [Abstract]
  
  
• YLAB@RU at Spoken Term Detection Task in NTCIR-9
  Yoichi Yamashita, Toru Matsunaga and Kook Cho
  [Pdf] [Revised Paper Pdf 20111212] [Abstract]
  
  
  

  [RITE]

• Overview of NTCIR-9 RITE: Recognizing Inference in TExt
  Hideki Shima, Hiroshi Kanayama, Cheng-Wei Lee, Chuan-Jie Lin, Teruko Mitamura, Yusuke Miyao, Shuming Shi and Koichi Takeda
  [Pdf] [Abstract]
  
  
• A Machine Learning based Textual Entailment Recognition System of JAIST Team for NTCIR9 RITE
  Quang Nhat Minh Pham, Le Minh Nguyen and Akira Shimazu
  [Pdf] [Revised Paper Pdf 20111206] [Poster] [Slides] [Abstract]
  
  
• Predicate-argument Structure based Textual Entailment Recognition System of KYOTO Team for NTCIR9 RITE
  Tomohide Shibata and Sadao Kurohashi
  [Pdf] [Poster] [Slides] [Abstract]
  
  
• UIOWA at NTCIR-9 RITE: Using the Power of the Crowd to Establish Inference Rules
  Christopher G. Harris
  [Pdf] [Abstract]
  
  
• ICRC_HITSZ at RITE: Leveraging Multiple Classifiers Voting for Textual Entailment Recognition
  Yaoyun Zhang, Jun Xu, Chenlong Liu, Xiaolong Wang, Ruifeng Xu, Qingcai Chen, Xuan Wang, Yongshuai Hou and Buzhou Tang
  [Pdf] [Poster] [Slides] [Abstract]
  
  
• NTTCS Textual Entailment Recognition System for NTCIR-9 RITE
  Yasuhiro Akiba, Hirotoshi Taira, Sanae Fujita, Kaname Kasahara and Masaaki Nagata
  [Pdf] [Abstract]
  
  
• FudanNLP at RITE 2011: a Shallow Semantic Approach to Textual Entailment
  Ling Cao, Xipeng Qiu and Xuanjing Huang
  [Pdf] [Poster] [Abstract]
  
  
• IMTKU Textual Entailment System for Recognizing Inference in Text at NTCIR-9 RITE
  Min-Yuh Day, Re-Yuan Lee, Cheng-Tai Liu, Chun Tu, Chin-Sheng Tseng, Loong Tern Yap, Allen-Green C.L. Huang, Yu-Hsuan Chiu and Wei-Ze Hong
  [Pdf] [Poster] [Slides for Demo] [Demo System] [Abstract]
  
  
• The Yuntech System in NTCIR-9 RITE Task
  Nai-Hsuan Han and Lun-Wei Ku
  [Pdf] [Abstract]
  
  
• NTU Textual Entailment System for NTCIR 9 RITE Task
  Hen-Hsen Huang, Kai-Chun Chang, James M.C. Haver II and Hsin-Hsi Chen
  [Pdf] [Abstract]
  
  
• The Description of the NTOU RITE System in NTCIR-9
  Chuan-Jie Lin and Bo-Yu Hsiao
  [Pdf] [Abstract]
  
  
• WUST SVM-Based System at NTCIR-9 RITE Task
  Maofu Liu, Yan Li, Yu Xiao and Chunwei Lei
  [Pdf] [Abstract]
  
  
• Recognizing Text Entailment via Syntactic Tree Matching
  Zhewei Mai, Yue Zhang and Donghong Ji
  [Pdf] [Abstract]
  
  
• A Textual Entailment System using Web based Machine Translation System
  Partha Pakray, Snehasis Neogi, Sivaji Bandyopadhyay and Alexander Gelbukh
  [Pdf] [Poster] [Abstract]
  
  
• The WHUTE System in NTCIR-9 RITE Task
  Han Ren, Chen Lv and Donghong Ji
  [Pdf] [Abstract]
  
  
• IASL RITE System at NTCIR-9
  Cheng-Wei Shih, Cheng-Wei Lee, Ting-Hao Yang and Wen-Lian Hsu
  [Pdf] [Abstract]
  
  
• LTI's Textual Entailment Recognizer System at NTCIR-9 RITE
  Hideki Shima, Yuanpeng Li, Naoki Orii and Teruko Mitamura
  [Pdf] [Poster] [Abstract]
  
  
• ZSWSL Text Entailment Recognizing System at NTCIR-9 RITE Task
  Ranxu Su, Sheng Shang, Pan Wang, Haixu Liu and Yan Zheng
  [Pdf] [Poster] [Abstract]
  
  
• Experiments for NTCIR-9 RITE Task at Shibaura Institute of Technology
  Toru Sugimoto
  [Pdf] [Abstract]
  
  
• Syntactic Difference Based Approach for NTCIR-9 RITE Task
  Yuta Tsuboi, Hiroshi Kanayama, Masaki Ohno and Yuya Unno
  [Pdf] [Revised Paper Pdf 20111220] [Poster] [Abstract]
  
  
• Experiments of FX for NTCIR-9 RITE Japanese BC Subtask
  Hiroshi Umemoto and Keigo Hattori
  [Pdf] [Abstract]
  
  
• TU Group at NTCIR9-RITE: Leveraging Diverse Lexical Resources for Recognizing Textual Entailment
  Yotaro Watanabe, Junta Mizuno, Eric Nichols, Katsuma Narisawa, Keita Nabeshima and Kentaro Inui
  [Pdf] [Abstract]
  
  
• Binary-class and Multi-class Chinese Textural Entailment System Description in NTCIR-9 RITE
  Shih-Hung Wu, Wan-Chi Huang, Liang-Pu Chen and Tsun Ku
  [Pdf] [Abstract]
  
  
• MCU at NTCIR: A Resources Limited Chinese Textual Entailment Recognition System
  Yu-Chieh Wu, Chung-Jung Lee and Yaw-Chu Chen
  [Pdf] [Abstract]
  
  
• ICL Participation at NTCIR-9 RITE
  Xu Xing and Wang Houfeng
  [Pdf] [Abstract]
  
  

  Pilot Tasks

  
  

  [CrossLink]

• Overview of the NTCIR-9 Crosslink Task: Cross-lingual Link Discovery
  Ling-Xiang Tang, Shlomo Geva, Andrew Trotman, Yue Xu and Kelly Y. Itakura
  [Pdf] [Poster] [Abstract]
  
  
• Using Concept base and Wikipedia for Cross-Lingual Link Discovery
  Pham Huy Anh and Takashi Yukawa
  [Pdf] [Abstract]
  
  
• IISR Crosslink Approach at NTCIR 9 CLLD Task
  Chun-Yuan Cheng, Yu-Chun Wang and Richard Tzong-Han Tsai
  [Pdf] [Poster] [Abstract]
  
  
• HITS’ Graph-based System at the NTCIR-9 Cross-lingual Link Discovery Task
  Angela Fahrni, Vivi Nastase and Michael Strube
  [Pdf] [Abstract]
  
  
• English-to-Korean Cross-linking of Wikipedia Articles at KSLP
  In-Su Kang and Ralph Marigomen
  [Pdf] [Abstract]
  
  
• Cross-lingual Link Discovery by Using Link Probability and Bilingual Dictionary
  Sin-Jae Kang
  [Pdf] [Abstract]
  
  
• UKP at CrossLink: Anchor Text Translation for Cross-lingual Link Discovery
  Jungi Kim and Iryna Gurevych
  [Pdf] [Abstract]
  
  
• KMI, The Open University at NTCIR-9 CrossLink: Cross-Lingual Link Discovery in Wikipedia Using Explicit Semantic Analysis
  Petr Knoth, Lukas Zilka and Zdenek Zdrahal
  [Pdf] [Poster] [Abstract]
  
  
• Discovering Links by Context Similarity and Translated Key Phrases for NTCIR9 CrossLink
  Yi-Hsun Lee, Chung-Yao Chuang, Cen-Chieh Chen and Wen-Lian Hsu
  [Pdf] [Abstract]
  
  
• WUST EN-CS Crosslink System at NTCIR-9 CLLD Task
  Maofu Liu, Le Kang, Shuang Yang and Hong Zhang
  [Pdf] [Abstract]
  
  
• Automated Cross-lingual Link Discovery in Wikipedia
  Ling-Xiang Tang, Daniel Cavanagh, Andrew Trotman, Shlomo Geva, Yue Xu and Laurianne Sitbon
  [Pdf] [Poster] [Abstract]
  
  
• Multi-filtering Method Based Cross-lingual Link Discovery
  Yingfan Gao, Hongjiao Xu, Junsheng Zhang and Huilin Wang
  [Pdf] [Abstract]
  
  
  

  [VisEX]

• Overview of the VisEx task at NTCIR-9
  Tsuneaki Kato, Mitsunori Matsushita and Hideo Joho
  [Pdf] [Slides] [Abstract]
  
  
• Grid-based Interaction for NTCIR-9 VisEx Task
  Hideo Joho and Tetsuya Sakai
  [Pdf] [Abstract]
  
  
• How Does a User Utilize Chart-based Interface to Conduct Exploratory Data Analysis?
  Kazuhiro Tanaka, Daiki Hasui and Mitsunori Matsushita
  [Pdf] [Abstract]
  
  
• Read Article Management in Document Search Process for NTCIR-9 VisEx Task
  Yasufumi Takama, Shunichi Hattori and Ryosuke Miyake
  [Pdf] [Slides] [Abstract]
  
  
• Effects of the Variety of Document Retrieval Methods on Interactive Information Access - An Experiment in the NTCIR-9 VisEx Task -
  Tsuneaki Kato
  [Pdf] [Poster] [Abstract]
  
  
  

  [PatentMT]

• Overview of the Patent Machine Translation Task at the NTCIR-9 Workshop
  Isao Goto, Bin Lu, Ka Po Chow, Eiichiro Sumita and Benjamin K. Tsou
  [Pdf] [Slides] [Abstract]
  
  
• BBN’s Systems for the Chinese-English Sub-task of the NTCIR-9 PatentMT Evaluation
  Jeff Ma and Spyros Matsoukas
  [Pdf] [Abstract]
  
  
• NTT-UT Statistical Machine Translation in NTCIR-9 PatentMT
  Katsuhito Sudoh, Kevin Duh, Hajime Tsukada, Masaaki Nagata, Xianchao Wu, Takuya Matsuzaki and Jun'ichi Tsujii
  [Pdf] [Poster] [Slides] [Abstract]
  
  
• The NiuTrans Machine Translation System for NTCIR-9 PatentMT
  Tong Xiao, Qiang Li, Qi Lu, Hao Zhang, Haibo Ding, Shujie Yao, Xiaoming Xu, Xiaoxu Fei, Jingbo Zhu, Feiliang Ren and Huizhen Wang
  [Pdf] [Poster] [Slides] [Abstract]
  
  
• The RWTH Aachen System for NTCIR-9 PatentMT
  Minwei Feng, Christoph Schmidt, Joern Wuebker, Stephan Peitz, Markus Freitag and Hermann Ney
  [Pdf] [Abstract]
  
  
• IBM Chinese-to-English PatentMT System for NTCIR-9
  Young-Suk Lee, Bing Xiang, Bing Zhao, Martin Franz, Salim Roukos and Yaser Al-Onaizan
  [Pdf] [Abstract]
  
  
• Use of the Japio Technical Field Dictionaries for NTCIR-PatentMT
  Tadaaki Oshio, Tomoharu Mitsuhashi and Tsuyoshi Kakita
  [Pdf] [Abstract]
  
  
• LIUM’s Statistical Machine Translation System for the NTCIR Chinese/English PatentMT
  Holger Schwenk and Sadaf Abdul-Rauf
  [Pdf] [Abstract]
  
  
• Machine translation system for patent documents combining rule-based translation and statistical post-editing applied to the PatentMT Task
  Terumasa Ehara
  [Pdf] [Abstract]
  
  
• ZZX_MT: the BeiHang MT System for NTCIR-9 PatentMT Task
  WenHan Chao and Zhoujun Li
  [Pdf] [Abstract]
  
  
• ISTIC Statistical Machine Translation System for Patent machine translation in NTCIR-9
  Yanqing He, Chongde Shi and Huilin Wang
  [Pdf] [Revised Paper Pdf 20111206] [Abstract]
  
  
• System Description of BJTU-NLP SMT for NTCIR-9 PatentMT
  Junjie Jiang, Jinan Xu, Youfang Lin and Yujie Zhang
  [Pdf] [Poster] [Abstract]
  
  
• Learning of Linear Ordering Problems and its Application to J-E Patent Translation in NTCIR-9 PatentMT
  Shuhei Kondo, Mamoru Komachi, Yuji Matsumoto, Katsuhito Sudoh, Kevin Duh and Hajime Tsukada
  [Pdf] [Abstract]
  
  
• Statistical Machine Translation with Rule based Machine Translation
  Jin'ichi Murakami and Masato Tokuhisa
  [Pdf] [Poster] [Abstract]
  
  
• POSTECH’s Statistical Machine Translation Systems for NTCIR-9 PatentMT Task (English-to-Japanese)
  Hwidong Na, Jin-Ji Li, Se-Jong Kim and Jong-Hyeok Lee
  [Pdf] [Poster] [Abstract]
  
  
• EBMT System of KYOTO Team in PatentMT Task at NTCIR-9
  Toshiaki Nakazawa and Sadao Kurohashi
  [Pdf] [Poster] [Abstract]
  
  
• Statistical Approaches to Patent Translation for PatentMT - Experiments with Various Settings of Training Data
  Yuen-Hsien Tseng, Chao-Lin Liu, Chia-Chi Tsai, Jui-Ping Wang, Yi-Hsuan Chuang and James Jeng
  [Pdf] [Poster] [Abstract]
  
  
• SMT Systems in the University of Tokyo for NTCIR-9 PatentMT
  Xianchao Wu, Takuya Matsuzaki and Jun'ichi Tsujii
  [Pdf] [Poster] [Abstract]
  
  
• The ICT’s Patent MT System Description for NTCIR-9
  Hao Xiong, Linfeng Song, FanDong Meng, Yajuan Lü and Qun Liu
  [Pdf] [Poster] [Abstract]
  
  
• HPB SMT of FRDC Assisted by Paraphrasing for the NTCIR-9 PatentMT
  Zhongguang Zheng, Naisheng Ge, Yao Meng and Hao Yu
  [Pdf] [Poster] [Abstract]
  
  
• [PatentMT] Summary Report of Team III_CYUT_NTHU
  Joseph Chang, Ho-Ching Yen, Shih-Ting Huang, Ming-Jhuan Jiang, Chung-Chi Huang, Jason S. Chang and Ping-Che Yang
  [Pdf] [Abstract]