Search (4 results, page 1 of 1)

  • × author_ss:"Cui, H."
  • × year_i:[2010 TO 2020}
  1. Cui, H.: Competency evaluation of plant character ontologies against domain literature (2010) 0.02 
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    Date
    1. 6.2010 9:55:22
  2. Cui, H.: CharaParser for fine-grained semantic annotation of organism morphological descriptions (2012) 0.01 
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    Abstract
    Biodiversity information organization is looking beyond the traditional document-level metadata approach and has started to look into factual content in textual documents to support more intelligent and semantic-based access. This article reports the development and evaluation of CharaParser, a software application for semantic annotation of morphological descriptions. CharaParser annotates semistructured morphological descriptions in such a detailed manner that all stated morphological characters of an organ are marked up in Extensible Markup Language format. Using an unsupervised machine learning algorithm and a general purpose syntactic parser as its key annotation tools, CharaParser requires minimal additional knowledge engineering work and seems to perform well across different description collections and/or taxon groups. The system has been formally evaluated on over 1,000 sentences randomly selected from Volume 19 of Flora of North American and Part H of Treatise on Invertebrate Paleontology. CharaParser reaches and exceeds 90% in sentence-wise recall and precision, exceeding other similar systems reported in the literature. It also significantly outperforms a heuristic rule-based system we developed earlier. Early evidence that enriching the lexicon of a syntactic parser with domain terms alone may be sufficient to adapt the parser for the biodiversity domain is also observed and may have significant implications.
  3. Cui, H.; Boufford, D.; Selden, P.: Semantic annotation of biosystematics literature without training examples (2010) 0.00 
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  4. Mao, J.; Cui, H.: Identifying bacterial biotope entities using sequence labeling : performance and feature analysis (2018) 0.00 
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