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Richard Tzong-Han Tsai: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Richard Tzong-Han Tsai, Hong-Jie Dai, Hsieh-Chuan Hung, Cheng-Lung Sung, Min-Yuh Day, Wen-Lian Hsu
    Chinese word segmentation with minimal linguistic knowledge: An improved conditional random fields coupled with character clustering and automatically discovered template matching. [Citation Graph (0, 0)][DBLP]
    IRI, 2006, pp:274-279 [Conf]
  2. Richard Tzong-Han Tsai
    A Hybrid Approach to Biomedical Named Entity Recognition and Semantic Role Labeling. [Citation Graph (0, 0)][DBLP]
    HLT-NAACL, 2006, pp:- [Conf]
  3. Richard Tzong-Han Tsai, Shih-Hung Wu, Wen-Chi Chou, Yu-Chun Lin, Ding He, Jieh Hsiang, Ting-Yi Sung, Wen-Lian Hsu
    Various criteria in the evaluation of biomedical named entity recognition. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2006, v:7, n:, pp:92- [Journal]
  4. Min-Yuh Day, Richard Tzong-Han Tsai, Cheng-Lung Sung, Chiu-Chen Hsieh, Cheng-Wei Lee, Shih-Hung Wu, Kuen-Pin Wu, Chorng-Shyong Ong, Wen-Lian Hsu
    Reference metadata extraction using a hierarchical knowledge representation framework. [Citation Graph (0, 0)][DBLP]
    Decision Support Systems, 2007, v:43, n:1, pp:152-167 [Journal]
  5. Hsieh-Chuan Hung, Richard Tzong-Han Tsai, Wen-Lian Hsu
    Identifying Protein Interaction Abstracts with Contextual Bag of Words. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:1870-1871 [Conf]
  6. Richard Tzong-Han Tsai, Hong-Jie Dai, Hsi-Chuan Hung, Ryan T. K. Lin, Wen-Chi Chou, Ying-Shan Su, Min-Yuh Day, Wen-Lian Hsu
    BESearch: A Supervised Learning Approach to Search for Molecular Event Participants. [Citation Graph (0, 0)][DBLP]
    IRI, 2007, pp:412-417 [Conf]

  7. Semi-joint Labeling for Chinese Named Entity Recognition. [Citation Graph (, )][DBLP]


  8. Result identification for biomedical abstracts using Conditional Random Fields. [Citation Graph (, )][DBLP]


  9. Biological question answering with syntactic and semantic feature matching and an improved mean reciprocal ranking measurement. [Citation Graph (, )][DBLP]


  10. A Maximum Entropy Approach to Chinese Grapheme-to-Phoneme Conversion. [Citation Graph (, )][DBLP]


  11. Using Contextual Information to Clarify Gene Normalization Ambiguity. [Citation Graph (, )][DBLP]


  12. A Survey of State of the Art Biomedical Text Mining Techniques for Semantic Analysis. [Citation Graph (, )][DBLP]


  13. Protein-Protein Interaction Abstract Identification with Contextual Bag of Words. [Citation Graph (, )][DBLP]


  14. PubMed-EX: a web browser extension to enhance PubMed search with text mining features. [Citation Graph (, )][DBLP]


  15. BIOSMILE: A semantic role labeling system for biomedical verbs using a maximum-entropy model with automatically generated template features. [Citation Graph (, )][DBLP]


  16. NERBio: using selected word conjunctions, term normalization, and global patterns to improve biomedical named entity recognition. [Citation Graph (, )][DBLP]


  17. Exploiting likely-positive and unlabeled data to improve the identification of protein-protein interaction articles. [Citation Graph (, )][DBLP]


  18. Semi-automatic conversion of BioProp semantic annotation to PASBio annotation. [Citation Graph (, )][DBLP]


  19. HypertenGene: extracting key hypertension genes from biomedical literature with position and automatically-generated template features. [Citation Graph (, )][DBLP]


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