Literature retrieval based on citation context

Liu, Shengbo; Chen, Chaomei; Ding, Kun; Wang, Bo; Xu, Kexin; Lin, Yuan

doi:10.1007/s11192-014-1233-7

Cited by 39 publications

(31 citation statements)

References 21 publications

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“…Boyack, Small, & Klavans, 2013;Zhao & Strotmann, 2014;Bertin, Atanassova, Larivière, & Gingras, 2013;Bertin & Atanassova, 2014;Catalini, Lacetera & Oettl, 2015). Due to their extensive XML mark-up, the corpi from PLOS (e.g., Bertin, Atanssova, Gingras, & Lariviere, 2016), PubMed Central (Liu et al, 2014;Elkiss et al, 2008;Callahan, Hockema, & Eysenbach, 2010) and Elsevier (Boyack, Small, & Klavans, 2012), have been particularly useful for these analyses.…”

Section: Introductionmentioning

confidence: 99%

The linguistic patterns and rhetorical structure of citation context: an approach using n-grams

et al. 2016

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Using the full-text corpus of more than 75,000 research articles published by seven PLOS journals, this paper proposes a natural language processing approach for identifying the function of citations. Citation contexts are assigned based on the frequency of n-gram co-occurrences located near the citations. Results show that the most frequent linguistic patterns found in the citation contexts of papers vary according to their location in the IMRaD structure of scientific articles. The presence of negative citations is also dependent on this structure. This methodology offers new perspectives to locate these discursive forms according to the rhetorical structure of scientific articles, and will lead to a better understanding of the use of citations in scientific articles.

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Section: Introductionmentioning

confidence: 99%

The linguistic patterns and rhetorical structure of citation context: an approach using n-grams

et al. 2016

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“…Many related studies have identified the contributions of the full texts (ref. Related Work ), as the full texts can provide several kinds of helpful information, including proximity of citations in the articles [ 27 – 28 ], contents of the articles [ 24 , 36 – 37 ], and citation passages in the articles [ 19 , 29 – 35 ]. We re-confirm the contributions of the full texts.…”

Section: Discussionmentioning

confidence: 99%

“…For example, proximity of two citations in the full texts of the articles was employed to estimate inter-article similarity (i.e., two articles d 1 and d 2 may be more related to each other if they are cited in a nearby area in a citing article d [ 27 , 28 ]). Context passages around citations was employed to enhance the representation of articles, with the goal to improve topic-based article retrieval [ 29 , 30 ] or inter-article similarity estimation [ 31 ]. These hybrid techniques were based on the expectation that, for a given article x , the context passages in the articles that cite x may indicate the main contents of x [ 32 ], although different citing articles may focus on different aspects of x [ 19 , 33 ] with different sentiments [ 34 ].…”

Section: Related Workmentioning

confidence: 99%

Passage-Based Bibliographic Coupling: An Inter-Article Similarity Measure for Biomedical Articles

Liu

2015

PLoS ONE

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Biomedical literature is an essential source of biomedical evidence. To translate the evidence for biomedicine study, researchers often need to carefully read multiple articles about specific biomedical issues. These articles thus need to be highly related to each other. They should share similar core contents, including research goals, methods, and findings. However, given an article r, it is challenging for search engines to retrieve highly related articles for r. In this paper, we present a technique PBC (Passage-based Bibliographic Coupling) that estimates inter-article similarity by seamlessly integrating bibliographic coupling with the information collected from context passages around important out-link citations (references) in each article. Empirical evaluation shows that PBC can significantly improve the retrieval of those articles that biomedical experts believe to be highly related to specific articles about gene-disease associations. PBC can thus be used to improve search engines in retrieving the highly related articles for any given article r, even when r is cited by very few (or even no) articles. The contribution is essential for those researchers and text mining systems that aim at cross-validating the evidence about specific gene-disease associations.

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“…Some studies emphasized the literal features of citation by analyzing the citation context, such author's reason for citing (Teufel et al, 2006) and sentiment of citation (Small, 2011). Besides, various applications based on citation context have been developed, such as information retrieval (Eto, 2013;Liu S. et al, 2014a) and article recommendation (He et al, 2010;Liu X. et al, 2014b).…”

Section: Related Workmentioning

confidence: 99%

Temporal Representations of Citations for Understanding the Changing Roles of Scientific Publications

Chen

2018

Front. Res. Metr. Anal.

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Researchers may describe different aspects of past scientific publications in their publications and the descriptions may keep changing in the evolution of science. The diverse and changing descriptions (i.e., citation contexts) on a publication characterize the impact and contributions of the past publication. In this article, we aim to provide an approach to understanding the changing roles of a publication characterized by its citation contexts in the full text of publications. We proposed approaches for representing the changing citation contexts of cited publications in different periods as sequences of vectors by training temporal embedding models. We can utilize the temporal representations to quantify how much the roles of publications changed and interpret how they changed. We also evaluated the performance of three ways of constructing citation contexts for representation learning. Our study in the biomedical domain shows that our metric on the changes of publication roles is stable at the group level but it can account for the variation of individual publications.

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Literature retrieval based on citation context

Cited by 39 publications

References 21 publications

The linguistic patterns and rhetorical structure of citation context: an approach using n-grams

The linguistic patterns and rhetorical structure of citation context: an approach using n-grams

Passage-Based Bibliographic Coupling: An Inter-Article Similarity Measure for Biomedical Articles

Temporal Representations of Citations for Understanding the Changing Roles of Scientific Publications

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