Abstract is missing.
- Improving Context Vector Models by Feature Clustering for Automatic Thesaurus ConstructionJia-Ming You, Keh-Jiann Chen. 1-8 [doi]
- Regional Variation of Domain-Specific Lexical Items: Toward a Pan-Chinese Lexical ResourceOi Yee Kwong, Benjamin K. Tsou. 9-16 [doi]
- Mining Atomic Chinese Abbreviation Pairs: A Probabilistic Model for Single Character Word RecoveryJing-Shin Chang, Wei-Lun Teng. 17-24 [doi]
- Features, Bagging, and System Combination for the Chinese POS Tagging TaskFei Xia, Lap Cheung. 25-32 [doi]
- Semantic Analysis of Chinese Garden-Path SentencesYaohong Jin. 33-39 [doi]
- A Clustering Approach for Unsupervised Chinese Coreference ResolutionChi-Shing Wang, Grace Ngai. 40-47 [doi]
- Latent Features in Automatic Tense Translation between Chinese and EnglishYang Ye, Victoria Fossum, Steven P. Abney. 48-55 [doi]
- Cluster-Based Language Model for Sentence Retrieval in Chinese Question AnsweringYouzheng Wu, Jun Zhao 0001, Bo Xu. 56-63 [doi]
- The Role of Lexical Resources in CJK Natural Language ProcessingJack Halpern. 64-71 [doi]
- Hybrid Models for Chinese Named Entity RecognitionLishuang Li, Tingting Mao, Degen Huang, Yuansheng Yang. 72-78 [doi]
- Realization of the Chinese BA-construction in an English-Chinese Machine Translation SystemXiaohong Wu, Sylviane Cardey, Peter Greenfield. 79-86 [doi]
- A Hybrid Approach to Chinese Base Noun Phrase ChunkingFang Xu, Chengqing Zong, Jun Zhao. 87-93 [doi]
- A SVM-Based Model for Chinese Functional Chunk ParsingYingze Zhao, Qiang Zhou. 94-101 [doi]
- Broadcast Audio and Video Bimodal Corpus Exploitation and ApplicationYu Zou, Min Hou, Yudong Chen, Fengguo Hu, Li Fu. 102-107 [doi]
- The Third International Chinese Language Processing Bakeoff: Word Segmentation and Named Entity RecognitionGina-Anne Levow. 108-117 [doi]
- Chinese Named Entity Recognition with Conditional Random FieldsWenliang Chen, Yujie Zhang, Hitoshi Isahara. 118-121 [doi]
- France Telecom R&D Beijing Word Segmenter for Sighan Bakeoff 2006Wu Liu, Heng Li, Yuan Dong, Nan He, Haitao Luo, Haila Wang. 122-125 [doi]
- Voting between Dictionary-Based and Subword Tagging Models for Chinese Word SegmentationDong Song, Anoop Sarkar. 126-129 [doi]
- BMM-Based Chinese Word Segmentor with Word Support Model for the SIGHAN Bakeoff 2006Jia-Lin Tsai. 130-133 [doi]
- On Closed Task of Chinese Word Segmentation: An Improved CRF Model Coupled with Character Clustering and Automatically Generated Template MatchingRichard Tzong-Han Tsai, Hsieh-Chuan Hung, Cheng-Lung Sung, Hong-Jie Dai, Wen-Lian Hsu. 134-137 [doi]
- Chinese Word Segmentation with Maximum Entropy and N-gram Language ModelXinhao Wang, Xiaojun Lin, Dianhai Yu, Hao Tian, Xihong Wu. 138-141 [doi]
- On Using Ensemble Methods for Chinese Named Entity RecognitionChia-Wei Wu, Shyh-Yi Jan, Richard Tzong-Han Tsai, Wen-Lian Hsu. 142-145 [doi]
- Chinese Word Segmentation and Named Entity Recognition by Character TaggingKun Yu, Sadao Kurohashi, Hao Liu, Toshiaki Nakazawa. 146-149 [doi]
- Boosting for Chinese Named Entity RecognitionXiaofeng Yu, Marine Carpuat, Dekai Wu. 150-153 [doi]
- Chinese Word Segmentation and Named Entity Recognition Based on a Context-Dependent Mutual Information Independence ModelMin Zhang 0005, Guodong Zhou, Lingpeng Yang, Dong-Hong Ji. 154-157 [doi]
- Word Segmentation and Named Entity Recognition for SIGHAN Bakeoff3Suxiang Zhang, Ying Qin, Juan Wen, Xiaojie Wang. 158-161 [doi]
- An Improved Chinese Word Segmentation System with Conditional Random FieldHai Zhao, Changning Huang, Mu Li. 162-165 [doi]
- Chinese Word Segmentation Using Various DictionariesGuo-Wei Bian. 166-168 [doi]
- Character Language Models for Chinese Word Segmentation and Named Entity RecognitionBob Carpenter. 169-172 [doi]
- Chinese Named Entity Recognition with Conditional Probabilistic ModelsAitao Chen, Fuchun Peng, Roy Shan, Gordon Sun. 173-176 [doi]
- POC-NLW Template for Chinese Word SegmentationBo Chen, Weiran Xu, Tao Peng, Jun Guo. 177-180 [doi]
- Chinese Word Segmentation and Named Entity Recognition Based on Conditional Random Fields ModelsYuanyong Feng, Le Sun, Yuanhua Lv. 181-184 [doi]
- Maximum Entropy Word Segmentation of Chinese TextAaron J. Jacobs, Yuk Wah Wong. 185-188 [doi]
- A Pragmatic Chinese Word Segmentation SystemWei Jiang, Yi Guan, Xiaolong Wang. 189-192 [doi]
- NetEase Automatic Chinese Word SegmentationXin Li, Shuaixiang Dai. 193-196 [doi]
- N-gram Based Two-Step Algorithm for Word SegmentationDong-Hee Lim, Kyu Baek Hwang, Seung-Shik Kang. 197-200 [doi]
- Chinese Word Segmentation Based on an Approach of Maximum Entropy ModelingYan Song, Jiaqing Guo, Dongfeng Cai. 201-204 [doi]
- Using Part-of-Speech Reranking to Improve Chinese Word SegmentationMengqiu Wang, Yanxin Shi. 205-208 [doi]
- Description of the NCU Chinese Word Segmentation and Named Entity Recognition System for SIGHAN Bakeoff 2006Yu-Chieh Wu, Jie Chi Yang, Qian-Xiang Lin. 209-212 [doi]
- Chinese Named Entity Recognition with a Multi-Phase ModelJunsheng Zhou, Liang He, Xinyu Dai, Jiajun Chen. 213-216 [doi]
- Designing Special Post-Processing Rules for SVM-Based Chinese Word SegmentationMuhua Zhu, Yilin Wang, Zhenxing Wang, Huizhen Wang, Jingbo Zhu. 217-220 [doi]