Search (6 results, page 1 of 1)

Jiang, X.; Liu, J.: Extracting the evolutionary backbone of scientific domains : the semantic main path network analysis approach based on citation context analysis (2023) 0.05
```
0.05356238 = product of:
  0.16068713 = sum of:
    0.16068713 = weight(_text_:citation in 948) [ClassicSimilarity], result of:
      0.16068713 = score(doc=948,freq=14.0), product of:
        0.23445003 = queryWeight, product of:
          4.6892867 = idf(docFreq=1104, maxDocs=44218)
          0.04999695 = queryNorm
        0.685379 = fieldWeight in 948, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          4.6892867 = idf(docFreq=1104, maxDocs=44218)
          0.0390625 = fieldNorm(doc=948)
  0.33333334 = coord(1/3)
```
Abstract

Main path analysis is a popular method for extracting the scientific backbone from the citation network of a research domain. Existing approaches ignored the semantic relationships between the citing and cited publications, resulting in several adverse issues, in terms of coherence of main paths and coverage of significant studies. This paper advocated the semantic main path network analysis approach to alleviate these issues based on citation function analysis. A wide variety of SciBERT-based deep learning models were designed for identifying citation functions. Semantic citation networks were built by either including important citations, for example, extension, motivation, usage and similarity, or excluding incidental citations like background and future work. Semantic main path network was built by merging the top-K main paths extracted from various time slices of semantic citation network. In addition, a three-way framework was proposed for the quantitative evaluation of main path analysis results. Both qualitative and quantitative analysis on three research areas of computational linguistics demonstrated that, compared to semantics-agnostic counterparts, different types of semantic main path networks provide complementary views of scientific knowledge flows. Combining them together, we obtained a more precise and comprehensive picture of domain evolution and uncover more coherent development pathways between scientific ideas.

Theme

Citation indexing
Liu, J.; Li, Y.; Hastings, S.K.: Simplified scheme of search task difficulty reasons (2019) 0.01
```
0.0112056285 = product of:
  0.033616886 = sum of:
    0.033616886 = product of:
      0.06723377 = sum of:
        0.06723377 = weight(_text_:reports in 5224) [ClassicSimilarity], result of:
          0.06723377 = score(doc=5224,freq=2.0), product of:
            0.2251839 = queryWeight, product of:
              4.503953 = idf(docFreq=1329, maxDocs=44218)
              0.04999695 = queryNorm
            0.29857272 = fieldWeight in 5224, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.503953 = idf(docFreq=1329, maxDocs=44218)
              0.046875 = fieldNorm(doc=5224)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)
```
Abstract

This article reports on a study that aimed at simplifying a search task difficulty reason scheme. Liu, Kim, and Creel (2015) (denoted LKC15) developed a 21-item search task difficulty reason scheme using a controlled laboratory experiment. The current study simplified the scheme through another experiment that followed the same design as LKC15 and involved 32 university students. The study had one added questionnaire item that provided a list of the 21 difficulty reasons in the multiple-choice format. By comparing the current study with LKC15, a concept of primary top difficulty reasons was proposed, which reasonably simplified the 21-item scheme to an 8-item top reason list. This limited number of reasons is more manageable and makes it feasible for search systems to predict task difficulty reasons from observable user behaviors, which builds the basis for systems to improve user satisfaction based on predicted search difficulty reasons.

Liu, J.: CIP in China : the development and status quo (1996) 0.01

0.0067738965 = product of:
  0.02032169 = sum of:
    0.02032169 = product of:
      0.04064338 = sum of:
        0.04064338 = weight(_text_:22 in 5528) [ClassicSimilarity], result of:
          0.04064338 = score(doc=5528,freq=2.0), product of:
            0.1750808 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.04999695 = queryNorm
            0.23214069 = fieldWeight in 5528, 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=5528)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

Source: Cataloging and classification quarterly. 22(1996) no.1, S.69-76

Zhou, D.; Lawless, S.; Wu, X.; Zhao, W.; Liu, J.: ¬A study of user profile representation for personalized cross-language information retrieval (2016) 0.01

0.0056449138 = product of:
  0.016934741 = sum of:
    0.016934741 = product of:
      0.033869483 = sum of:
        0.033869483 = weight(_text_:22 in 3167) [ClassicSimilarity], result of:
          0.033869483 = score(doc=3167,freq=2.0), product of:
            0.1750808 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.04999695 = queryNorm
            0.19345059 = fieldWeight in 3167, 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=3167)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

Date: 20. 1.2015 18:30:22

Zhang, Y.; Liu, J.; Song, S.: ¬The design and evaluation of a nudge-based interface to facilitate consumers' evaluation of online health information credibility (2023) 0.01

0.0056449138 = product of:
  0.016934741 = sum of:
    0.016934741 = product of:
      0.033869483 = sum of:
        0.033869483 = weight(_text_:22 in 993) [ClassicSimilarity], result of:
          0.033869483 = score(doc=993,freq=2.0), product of:
            0.1750808 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.04999695 = queryNorm
            0.19345059 = fieldWeight in 993, 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=993)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

Date: 22. 6.2023 18:18:34

Jiang, Y.; Meng, R.; Huang, Y.; Lu, W.; Liu, J.: Generating keyphrases for readers : a controllable keyphrase generation framework (2023) 0.01

0.0056449138 = product of:
  0.016934741 = sum of:
    0.016934741 = product of:
      0.033869483 = sum of:
        0.033869483 = weight(_text_:22 in 1012) [ClassicSimilarity], result of:
          0.033869483 = score(doc=1012,freq=2.0), product of:
            0.1750808 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.04999695 = queryNorm
            0.19345059 = fieldWeight in 1012, 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=1012)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)

Date: 22. 6.2023 14:55:20

Search (6 results, page 1 of 1)

Authors

Years

Themes