Table of Contents

• HITSCIR System in NTCIR-9 Subtopic Mining TaskWei Song, Yu Zhang, Handong Gao, Ting Liu, Sheng Li. [doi]
• Natural Language Understanding, Semantic-based Information Retrieval and Knowledge ManagementJun'ichi Tsujii. [doi]
• BBN's Systems for the Chinese-English Sub-task of the NTCIR-9 PatentMT EvaluationJeff Z. Ma, Spyros Matsoukas. [doi]
• RMIT and Gunma University at NTCIR-9 Intent TaskMichiko Yasukawa, J. Shane Culpepper, Falk Scholer, Matthias Petri. [doi]
• NTTCS Textual Entailment Recognition System for NTCIR-9 RITEYasuhiro Akiba, Hirotoshi Taira, Sanae Fujita, Kaname Kasahara, Masaaki Nagata. [doi]
• EBMT System of KYOTO Team in PatentMT Task at NTCIR-9Toshiaki Nakazawa, Sadao Kurohashi. [doi]
• Effects of the Variety of Document Retrieval Methods on Interactive Information Access - An Experiment in the NTCIR-9 VisEx Task -Tsuneaki Kato. [doi]
• POSTECH's Statistical Machine Translation Systems for NTCIR-9 PatentMT Task (English-to-Japanese)Hwidong Na, Jinji Li, Se-Jong Kim, Jong-Hyeok Lee. [doi]
• Modification of Vocabulary-based Re-ranking for Geographic and Temporal Searching at NTCIR GeoTime TaskKazuaki Kishida, Ikuko Matsushita. [doi]
• KMI, The Open University at NTCIR-9 CrossLink: Cross-Lingual Link Discovery in Wikipedia Using Explicit Semantic AnalysisPetr Knoth, Lukás Zilka, Zdenek Zdráhal. [doi]
• Overview of the VisEx task at NTCIR-9Tsuneaki Kato, Mitsunori Matsushita, Hideo Joho. [doi]
• Cross-lingual Link Discovery by Using Link Probability and Bilingual DictionarySin-Jae Kang. [doi]
• Qualifier Mining for NTCIR-INTENTHaitao Yu, Fuji Ren, Song Liu. [doi]
• Syntactic Difference Based Approach for NTCIR-9 RITE TaskYuta Tsuboi, Hiroshi Kanayama, Masaki Ohno, Yuya Unno. [doi]
• Read Article Management in Document Search Process for NTCIR-9 VisEx TaskYasufumi Takama, Shunichi Hattori, Ryosuke Miyake. [doi]
• STD based on Hough Transform and SDR using STD results: Experiments at NTCIR-9 SpokenDocTaisuke Kaneko, Tomoko Takigami, Tomoyosi Akiba. [doi]
• 2 Joint NLP Lab at the NTCIR-9 Intent TaskDongqing Xiao, Haoliang Qi, Jingbin Gao, Zhongyuan Han, Muyun Yang, Sheng Li. [doi]
• Toward improvement of SDR accuracy using LDA and query expansion for SpokenDocKiichi Hasegawa, Hideki Sekiya, Masanori Takehara, Taro Niinomi, Satoshi Tamura, Satoru Hayamizu. [doi]
• THUIR at NTCIR-9 INTENT TaskYufei Xue, Fei Chen, Tong Zhu, Chao Wang, Zhichao Li, Yiqun Liu, Min Zhang 0006, Yijiang Jin, Shaoping Ma. [doi]
• Overview of NTCIR-9 RITE: Recognizing Inference in TExtHideki Shima, Hiroshi Kanayama, Cheng-Wei Lee 0001, Chuan-Jie Lin, Teruko Mitamura, Yusuke Miyao, Shuming Shi, Koichi Takeda 0002. [doi]
• ZSWSL Text Entailment Recognizing System at NTCIR-9 RITE TaskRanxu Su, Sheng Shang, Pan Wang, Haixu Liu, Yan Zheng. [doi]
• Probabilistic Text Retrieval for NTCIR9 GeoTimeRay R. Larson. [doi]
• Spoken document retrieval method combining query expansion with continuous syllable recognition for NTCIR-SpokenDocSatoru Tsuge, Hiromasa Ohashi, Norihide Kitaoka, Kazuya Takeda, Kenji Kita. [doi]
• NTU Approaches to Subtopic Mining and Document Ranking at NTCIR-9 Intent TaskChieh-Jen Wang, Yung-Wei Lin, Ming-Feng Tsai, Hsin-Hsi Chen. [doi]
• ISTIC Statistical Machine Translation System for Patent machine translation in NTCIR-9Yanqing He, Chongde Shi, Huilin Wang. [doi]
• Binary-class and Multi-class Chinese Textural Entailment System Description in NTCIR-9 RITEShih-Hung Wu, Wan-Chi Huang, Liang-Pu Chen, Tsun Ku. [doi]
• Overview of NTCIR-9Tetsuya Sakai, Hideo Joho. [doi]
• IBM Chinese-to-English PatentMT System for NTCIR-9Young-Suk Lee, Bing Xiang, Bing Zhao, Martin Franz, Salim Roukos, Yaser Al-Onaizan. [doi]
• Information Extraction based Approach for the NTCIR-9 1CLICK TaskMakoto P. Kato, Meng Zhao, Kosetsu Tsukuda, Yoshiyuki Shoji, Takehiro Yamamoto, Hiroaki Ohshima, Katsumi Tanaka. [doi]
• ZZX_MT: the BeiHang MT System for NTCIR-9 PatentMT TaskWenHan Chao, Zhoujun Li. [doi]
• NTCIR-9 GeoTime at Osaka Kyoiku University - Toward Automatic Extraction of Place/Time Terms -Takashi Sato. [doi]
• Preface from NTCIR-9 General ChairsNoriko Kando, Tsuneaki Kato, Eiichiro Sumita. [doi]
• SINAI at NTCIR-9 GeoTime: a filtering and reranking approach based solely on geographical entitiesJosé M. Perea-Ortega, Miguel Ángel García Cumbreras, Manuel García Vega, Luis Alfonso Ureña López. [doi]
• WUST SVM-Based System at NTCIR-9 RITE TaskMaofu Liu, Yan Li, Yu Xiao, Chunwei Lei. [doi]
• NTCIR9-GeoTime Overview - Evaluating Geographic and Temporal Search: Round 2Fredric C. Gey, Ray R. Larson, Jorge Machado, Masaharu Yoshioka. [doi]
• FudanNLP at RITE 2011: a Shallow Semantic Approach to Textual EntailmentLing Cao, Xipeng Qiu, Xuanjing Huang. [doi]
• ICT's Patent MT System Description for NTCIR-9Hao Xiong, Linfeng Song, Fandong Meng, Yajuan Lü, Qun Liu. [doi]
• WUST EN-CS Crosslink System at NTCIR-9 CLLD TaskMaofu Liu, Le Kang, Shuang Yang, Hong Zhang. [doi]
• SMT Systems in the University of Tokyo for NTCIR-9 PatentMTXianchao Wu, Takuya Matsuzaki, Jun'ichi Tsujii. [doi]
• Experiments of FX for NTCIR-9 RITE Japanese BC SubtaskHiroshi Umemoto, Keigo Hattori. [doi]
• Microsoft Research Asia at the NTCIR-9 1CLICK TaskNaoki Orii, Young-In Song, Tetsuya Sakai. [doi]
• Recognizing Text Entailment via Syntactic Tree MatchingZhewei Mai, Yue Zhang, Donghong Ji. [doi]
• The Use of Inference Network Models in NTCIR-9 GeoTimeChristopher G. Harris. [doi]
• HPB SMT of FRDC Assisted by Paraphrasing for the NTCIR-9 PatentMTZhongguang Zheng, Naisheng Ge, Yao Meng, Hao Yu. [doi]
• The RWTH Aachen System for NTCIR-9 PatentMTMinwei Feng, Christoph Schmidt, Joern Wuebker, Stephan Peitz, Markus Freitag, Hermann Ney. [doi]
• UKP at CrossLink: Anchor Text Translation for Cross-lingual Link DiscoveryJungi Kim, Iryna Gurevych. [doi]
• ABRIR at NTCIR-9 GeoTime Task Usage of Wikipedia and GeoNames for Handling Named Entity InformationMasaharu Yoshioka. [doi]
• YLAB@RU at Spoken Term Detection Task in NTCIR-9Yoichi Yamashita, Toru Matsunaga, Kook Cho. [doi]
• ICRC_HITSZ at RITE: Leveraging Multiple Classifiers Voting for Textual Entailment RecognitionYaoyun Zhang, Jun Xu 0007, Chenlong Liu, Xiaolong Wang, Ruifeng Xu, Qingcai Chen, Xuan Wang, Yongshuai Hou, Buzhou Tang. [doi]
• IASL RITE System at NTCIR-9Cheng-Wei Shih, Cheng-Wei Lee 0001, Ting-Hao Yang, Wen-Lian Hsu. [doi]
• LTI's Textual Entailment Recognizer System at NTCIR-9 RITEHideki Shima, Yuanpeng Li, Naoki Orii, Teruko Mitamura. [doi]
• Mining Search Subtopics from Query LogsDan Zhu, Jianwei Cui, Jun He, Xiaoyong Du, Hongyan Liu. [doi]
• A Textual Entailment System using Web based Machine Translation SystemPartha Pakray, Snehasis Neogi, Sivaji Bandyopadhyay, Alexander F. Gelbukh. [doi]
• Utilization of Suffix Array for Quick STD and Its Evaluation on the NTCIR-9 SpokenDoc TaskKouichi Katsurada, Koudai Katsuura, Yurie Iribe, Tsuneo Nitta. [doi]
• The Description of the NTOU RITE System in NTCIR-9Chuan-Jie Lin, Bo-Yu Hsiao. [doi]
• Discovering Links by Context Similarity and Translated Key Phrases for NTCIR9 CrossLinkYi-Hsun Lee, Chung-Yao Chuang, Cen-Chieh Chen, Wen-Lian Hsu. [doi]
• TTOKU Summarization Based Systems at NTCIR-9 1CLICK taskHajime Morita, Takuya Makino, Tetsuya Sakai, Hiroya Takamura, Manabu Okumura. [doi]
• Geo-Temporal retrieval filtering versus answer resolution using WikipediaJorge Machado, José Luis Borbinha, Bruno Martins. [doi]
• TU Group at NTCIR9-RITE: Leveraging Diverse Lexical Resources for Recognizing Textual EntailmentYotaro Watanabe, Junta Mizuno, Eric Nichols, Katsuma Narisawa, Keita Nabeshima, Kentaro Inui. [doi]
• High speed spoken term detection by combination of n-gram array of a syllable lattice and LVCSR result for NTCIR-SpokenDocKeisuke Iwami, Seiichi Nakagawa. [doi]
• Spoken Document Retrieval Experiments for SpokenDoc at Ryukoku University (RYSDT)Hiroaki Nanjo, Kazuyuki Noritake, Takehiko Yoshimi. [doi]
• University of Alicante at NTCIR-9 GeoTimeFernando S. Peregrino, David Tomás, Fernando Llopis Pascual. [doi]
• Overview of the Patent Machine Translation Task at the NTCIR-9 WorkshopIsao Goto, Bin Lu, Ka-Po Chow, Eiichiro Sumita, Benjamin K. Tsou. [doi]
• The KLE's Subtopic Mining System for the NTCIR-9 INTENT TaskSe-Jong Kim, Hwidong Na, Jong-Hyeok Lee. [doi]
• DCU at the NTCIR-9 SpokenDoc Passage Retrieval TaskMaria Eskevich, Gareth J. F. Jones. [doi]
• Experiments for NTCIR-9 RITE Task at Shibaura Institute of TechnologyToru Sugimoto. [doi]
• [PatentMT] Summary Report of Team III_CYUT_NTHUJoseph Z. Chang, Ho-Ching Yen, Shih-Ting Huang, Ming-Zhuan Jiang, Chung-Chi Huang, Jason S. Chang, Ping-Che Yang. [doi]
• Multi-filtering Method Based Cross-lingual Link DiscoveryYingfan Gao, Hongjiao Xu, Junsheng Zhang, Huilin Wang. [doi]
• System Description of BJTU-NLP SMT for NTCIR-9 PatentMTJunjie Jiang, Jinan Xu, Youfang Lin, Yujie Zhang. [doi]
• HITS' Graph-based System at the NTCIR-9 Cross-lingual Link Discovery TaskAngela Fahrni, Vivi Nastase, Michael Strube. [doi]
• Overview of NTCIR-9 1CLICKTetsuya Sakai, Makoto P. Kato, Young-In Song. [doi]
• Using Concept base and Wikipedia for Cross-Lingual Link DiscoveryPham Huy Anh, Takashi Yukawa. [doi]
• The Yuntech System in NTCIR-9 RITE TaskNai-Hsuan Han, Lun-Wei Ku. [doi]
• ISCAS at Subtopic Mining Task in NTCIR9Xue Jiang, Xianpei Han, Le Sun. [doi]
• UWaterloo at NTCIR-9: Intent discovery with anchor textJohn A. Akinyemi, Charles L. A. Clarke. [doi]
• NiuTrans Machine Translation System for NTCIR-9 PatentMTTong Xiao, Qiang Li, Qi Lu, Hao Zhang, Haibo Ding, Shujie Yao, Xiaoming Xu, Xiaoxu Fei, Jingbo Zhu, Feiliang Ren, Huizhen Wang. [doi]
• Machine translation system for patent documents combining rule-based translation and statistical post-editing applied to the PatentMT TaskTerumasa Ehara. [doi]
• An STD system for OOV query terms using various subword unitsHiroyuki Saito, Takuya Nakano, Shiro Narumi, Toshiaki Chiba, Kazuma Konno, Yoshiaki Itoh 0001. [doi]
• IISR Crosslink Approach at NTCIR 9 CLLD TaskChun-Yuan Cheng, Yu-Chun Wang, Richard Tzong-Han Tsai. [doi]
• LIUM's Statistical Machine Translation System for the NTCIR Chinese/English PatentMTHolger Schwenk, Sadaf Abdul-Rauf. [doi]
• Spoken Term Detection Using Multiple Speech Recognizers' Outputs at NTCIR-9 SpokenDoc STD subtaskHiromitsu Nishizaki, Yuto Furuya, Satoshi Natori, Yoshihiro Sekiguchi. [doi]
• The Report on Subtopic Mining and Document Ranking of NTCIR-9 Intent TaskWei-Lun Xiao, Shih-Hung Wu, Liang-Pu Chen, Tsun Ku. [doi]
• MCU at NTCIR: A Resources Limited Chinese Textual Entailment Recognition SystemYu-Chieh Wu, Chung-Jung Lee, Yaw-Chu Chen. [doi]
• Redundancy Removal to Selectively Diversify Information Retrieval ResultsXiaolin Wang, Hai Zhao, Bao-Liang Lu. [doi]
• Grid-based Interaction for NTCIR-9 VisEx TaskHideo Joho, Tetsuya Sakai. [doi]
• Geo-temporal Information Retrieval Based on Semantic Role Labeling and Rank AggregationYoonjae Jeong, Gwan Jang, Kyung Min Kim, Sung-Hyon Myaeng. [doi]
• A Machine Learning based Textual Entailment Recognition System of JAIST Team for NTCIR9 RITEMinh Quang Nhat Pham, Minh Le Nguyen, Akira Shimazu. [doi]
• NTT-UT Statistical Machine Translation in NTCIR-9 PatentMTKatsuhito Sudoh, Kevin Duh, Hajime Tsukada, Masaaki Nagata, Xianchao Wu, Takuya Matsuzaki, Jun'ichi Tsujii. [doi]
• Use of the Japio Technical Field Dictionaries for NTCIR-PatentMTTadaaki Oshio, Tomoharu Mitsuhashi, Tsuyoshi Kakita. [doi]
• ICTIR Subtopic Mining System at NTCIR-9 INTENT TaskShuai Zhang, Kai Lu, Bin Wang. [doi]
• RMIT and Gunma University at NTCIR-9 GeoTime TaskMichiko Yasukawa, J. Shane Culpepper, Falk Scholer, Matthias Petri. [doi]
• Statistical Machine Translation with Rule based Machine TranslationJin'ichi Murakami, Masato Tokuhisa. [doi]
• NTU Textual Entailment System for NTCIR 9 RITE TaskHen-Hsen Huang, Kai-Chun Chang, James M. C. Haver II, Hsin-Hsi Chen. [doi]
• University of Glasgow at the NTCIR-9 Intent task: Experiments with Terrier on Subtopic Mining and Document RankingRodrygo L. T. Santos, Craig Macdonald, Iadh Ounis. [doi]
• Learning of Linear Ordering Problems and its Application to J-E Patent Translation in NTCIR-9 PatentMTShuhei Kondo, Mamoru Komachi, Yuji Matsumoto, Katsuhito Sudoh, Kevin Duh, Hajime Tsukada. [doi]
• English-to-Korean Cross-linking of Wikipedia Articles at KSLPIn-Su Kang, Ralph Marigomen. [doi]
• The WHUTE System in NTCIR-9 RITE TaskHan Ren, Chen Lv, Donghong Ji. [doi]
• Statistical Approaches to Patent Translation for PatentMT - Experiments with Various Settings of Training DataYuen-Hsien Tseng, Chao-Lin Liu, Chia-Chi Tsai, Jui-Ping Wang, Yi-Hsuan Chuang, James Jeng. [doi]
• Predicate-argument Structure based Textual Entailment Recognition System of KYOTO Team for NTCIR9 RITETomohide Shibata, Sadao Kurohashi. [doi]
• Overview of the NTCIR-9 INTENT TaskRuihua Song, Min Zhang 0006, Tetsuya Sakai, Makoto P. Kato, Yiqun Liu, Miho Sugimoto, Qinglei Wang, Naoki Orii. [doi]
• Microsoft Research Asia at the NTCIR-9 Intent TaskJialong Han, Qinglei Wang, Naoki Orii, Zhicheng Dou, Tetsuya Sakai, Ruihua Song. [doi]
• GeoTime Retrieval through Passage-based Learning to RankXiaolin Wang, Hai Zhao, Bao-Liang Lu. [doi]
• How Does a User Utilize Chart-based Interface to Conduct Exploratory Data Analysis?Kazuhiro Tanaka, Daiki Hasui, Mitsunori Matsushita. [doi]
• ICL Participation at NTCIR-9 RITEXing Xu, Houfeng Wang. [doi]
• IMTKU Textual Entailment System for Recognizing Inference in Text at NTCIR-9 RITEMin-Yuh Day, Re-Yuan Lee, Cheng-Tai Liu, Chun Tu, Chin-Sheng Tseng, Loong Tern Yap, Allen-Green C. L. Huang, Yu-Hsuan Chiu, Wei-Ze Hong. [doi]
• Overview of the IR for Spoken Documents Task in NTCIR-9 WorkshopTomoyosi Akiba, Hiromitsu Nishizaki, Kiyoaki Aikawa, Tatsuya Kawahara, Tomoko Matsui. [doi]
• UIOWA at NTCIR-9 RITE: Using the Power of the Crowd to Establish Inference RulesChristopher G. Harris. [doi]
• Automated Cross-lingual Link Discovery in WikipediaLing-Xiang Tang, Daniel Cavanagh, Andrew Trotman, Shlomo Geva, Yue Xu, Laurianne Sitbon. [doi]
• Overview of the NTCIR-9 Crosslink Task: Cross-lingual Link DiscoveryLing-Xiang Tang, Shlomo Geva, Andrew Trotman, Yue Xu, Kelly Y. Itakura. [doi]