Search (5 results, page 1 of 1)

  • × author_ss:"Wang, J."
  • × language_ss:"e"
  1. Jiang, Z.; Gu, Q.; Yin, Y.; Wang, J.; Chen, D.: GRAW+ : a two-view graph propagation method with word coupling for readability assessment (2019) 0.08 
    0.08120373 = product of:
  0.16240746 = sum of:
    0.120043606 = weight(_text_:assess in 5218) [ClassicSimilarity], result of:
      0.120043606 = score(doc=5218,freq=2.0), product of:
        0.36863554 = queryWeight, product of:
          5.8947687 = idf(docFreq=330, maxDocs=44218)
          0.062536046 = queryNorm
        0.32564306 = fieldWeight in 5218, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.8947687 = idf(docFreq=330, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5218)
    0.042363856 = weight(_text_:22 in 5218) [ClassicSimilarity], result of:
      0.042363856 = score(doc=5218,freq=2.0), product of:
        0.21899058 = queryWeight, product of:
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.062536046 = queryNorm
        0.19345059 = fieldWeight in 5218, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5218)
  0.5 = coord(2/4)
    Abstract
    Existing methods for readability assessment usually construct inductive classification models to assess the readability of singular text documents based on extracted features, which have been demonstrated to be effective. However, they rarely make use of the interrelationship among documents on readability, which can help increase the accuracy of readability assessment. In this article, we adopt a graph-based classification method to model and utilize the relationship among documents using the coupled bag-of-words model. We propose a word coupling method to build the coupled bag-of-words model by estimating the correlation between words on reading difficulty. In addition, we propose a two-view graph propagation method to make use of both the coupled bag-of-words model and the linguistic features. Our method employs a graph merging operation to combine graphs built according to different views, and improves the label propagation by incorporating the ordinal relation among reading levels. Experiments were conducted on both English and Chinese data sets, and the results demonstrate both effectiveness and potential of the method.
    Date
    15. 4.2019 13:46:22
  2. Wang, J.; Halffman, W.; Zhang, Y.H.: Sorting out journals : the proliferation of journal lists in China (2023) 0.08 
    0.08120373 = product of:
  0.16240746 = sum of:
    0.120043606 = weight(_text_:assess in 1055) [ClassicSimilarity], result of:
      0.120043606 = score(doc=1055,freq=2.0), product of:
        0.36863554 = queryWeight, product of:
          5.8947687 = idf(docFreq=330, maxDocs=44218)
          0.062536046 = queryNorm
        0.32564306 = fieldWeight in 1055, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.8947687 = idf(docFreq=330, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1055)
    0.042363856 = weight(_text_:22 in 1055) [ClassicSimilarity], result of:
      0.042363856 = score(doc=1055,freq=2.0), product of:
        0.21899058 = queryWeight, product of:
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.062536046 = queryNorm
        0.19345059 = fieldWeight in 1055, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1055)
  0.5 = coord(2/4)
    Abstract
    Journal lists are instruments to categorize, compare, and assess research and scholarly publications. Our study investigates the remarkable proliferation of such journal lists in China, analyses their underlying values, quality criteria and ranking principles, and specifies how concerns specific to the Chinese research policy and publishing system inform these lists. Discouraged lists of "bad journals" reflect concerns over inferior research publications, but also the involved drain on public resources. Endorsed lists of "good journals" are based on criteria valued in research policy, reflecting the distinctive administrative logic of state-led Chinese research and publishing policy, ascribing worth to scientific journals for its specific national and institutional needs. In this regard, the criteria used for journal list construction are contextual and reflect the challenges of public resource allocation in a market-led publication system. Chinese journal lists therefore reflect research policy changes, such as a shift away from output-dominated research evaluation, the specific concerns about research misconduct, and balancing national research needs against international standards, resulting in distinctly Chinese quality criteria. However, contrasting concerns and inaccuracies lead to contradictions in the "qualify" and "disqualify" binary logic and demonstrate inherent tensions and limitations in journal lists as policy tools.
    Date
    22. 9.2023 16:39:23
  3. Shen, R.; Wang, J.; Fox, E.A.: ¬A Lightweight Protocol between Digital Libraries and Visualization Systems (2002) 0.04 
    0.035946924 = product of:
  0.1437877 = sum of:
    0.1437877 = weight(_text_:22 in 666) [ClassicSimilarity], result of:
      0.1437877 = score(doc=666,freq=4.0), product of:
        0.21899058 = queryWeight, product of:
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.062536046 = queryNorm
        0.6565931 = fieldWeight in 666, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.09375 = fieldNorm(doc=666)
  0.25 = coord(1/4)
    Date
    22. 2.2003 17:25:39
    22. 2.2003 18:15:14
  4. Hicks, D.; Wang, J.: Coverage and overlap of the new social sciences and humanities journal lists (2011) 0.01 
    0.012709156 = product of:
  0.050836623 = sum of:
    0.050836623 = weight(_text_:22 in 4192) [ClassicSimilarity], result of:
      0.050836623 = score(doc=4192,freq=2.0), product of:
        0.21899058 = queryWeight, product of:
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.062536046 = queryNorm
        0.23214069 = fieldWeight in 4192, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.046875 = fieldNorm(doc=4192)
  0.25 = coord(1/4)
    Date
    22. 1.2011 13:21:28
  5. He, R.; Wang, J.; Tian, J.; Chu, C.-T.; Mauney, B.; Perisic, I.: Session analysis of people search within a professional social network (2013) 0.01 
    0.010590964 = product of:
  0.042363856 = sum of:
    0.042363856 = weight(_text_:22 in 743) [ClassicSimilarity], result of:
      0.042363856 = score(doc=743,freq=2.0), product of:
        0.21899058 = queryWeight, product of:
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.062536046 = queryNorm
        0.19345059 = fieldWeight in 743, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.0390625 = fieldNorm(doc=743)
  0.25 = coord(1/4)
    Date
    19. 4.2013 20:31:22

Authors

Years

Themes