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Certainty equivalent citation: generalized classes of citation indexes

Antonio Abatemarco, Roberto Dell'Anno
2012 Scientometrics  
-,g, t-, f-, w-index), and (ii) to highlight the centrality of the decision-maker's preferences on distributive aspects (concentration aversion) for the ranking of citation profiles.  ...  In order to highlight the sensitivity of citation orderings with respect to concentration aversion, an application to both simulated and real citation profiles is presented.  ...  More recently, in order to account for the skewness of citation distributions, and have submitted new indicators based on a percentile rank approach, while a quadratic influence function has been proposed  ... 
doi:10.1007/s11192-012-0758-x fatcat:rqtarg5qybaj3hzsl6pq2hhg4i

VerbNet based Citation Sentiment Class Assignment using Machine Learning

Zainab Amjad, Imran Ihsan
2020 International Journal of Advanced Computer Science and Applications  
There are several pieces of research to find the sentiment of a citation, however, only a handful of techniques that have used citation sentences for this purpose.  ...  This intent has changed over the years, and citations are now being used as a criterion for evaluating the research work or the author and has become one of the most important criteria for granting rewards  ...  They divided the citation text into for main classes, meaning, purpose, shape, array. This research was significant for the evaluation of citation text by context.  ... 
doi:10.14569/ijacsa.2020.0110973 fatcat:3k5zwptvffe5bm7yam2zoib7ci

Clustering Citation Distributions for Semantic Categorization and Citation Prediction

Francesco Osborne, Silvio Peroni, Enrico Motta
2014 International Semantic Web Conference  
In this paper we present i) an approach for clustering authors according to their citation distributions and ii) an ontology, the Bibliometric Data Ontology, for supporting the formal representation of  ...  We evaluate our approach with respect to alternative solutions and discuss the predicting abilities of the identified clusters.  ...  Clustering Citation Distributions In this section, we will present our approach for detecting clusters of researchers who share a similar citation distribution.  ... 
dblp:conf/semweb/OsbornePM14 fatcat:zj47a6s5n5cndppkxhifdhldom

Citations are not opinions: a corpus linguistics approach to understanding how citations are made [article]

Domenic Rosati
2021 arXiv   pre-print
A key issue in citation content analysis is looking for linguistic structures that characterize distinct classes of citations for the purposes of understanding the intent and function of a citation.  ...  Citation content analysis seeks to understand citations based on the language used during the making of a citation.  ...  A key issue in citation content analysis is looking for linguistic structures that characterize distinct classes of citations for the purposes of understanding the intent and function of a citation.  ... 
arXiv:2104.08087v1 fatcat:rfbmv7w56zdgfkemlur6lt3gzy

Extension of Direct Citation Model Using In-Text Citations

Abdul Shahid, Muhammad Tanvir Afzal, Muhammad Qaiser Saleem, M. S. Elsayed Idrees, Majzoob K. Omer
2021 Computers Materials & Continua  
For this purpose, the relationship between citing and cited articles is categorized into three categories: weak, medium, and strong.  ...  Citations based relevant research paper recommendations can be generated primarily with the assistance of three citation models: (1) Bibliographic Coupling, (2) Co-Citation, and (3) Direct Citations.  ...  For the evaluation of the experiments, it was necessary to have a benchmark dataset.  ... 
doi:10.32604/cmc.2021.013809 fatcat:ktgalmmx5nch3bnnmzdvcj7ggm

Semantic Modelling of Citation Contexts for Context-Aware Citation Recommendation [chapter]

Tarek Saier, Michael Färber
2020 Lecture Notes in Computer Science  
For this, we develop semantic models of citation contexts based on entities and claim structures.  ...  In this paper, we investigate the benefits of semantically modelling citation contexts for the purpose of citation recommendation.  ...  Various approaches have been published for global citation recommendation, some of which can also be used for paper recommendation, i.e., for recommending papers for the purpose of reading [1] .  ... 
doi:10.1007/978-3-030-45439-5_15 fatcat:spy2vigghjfpbmugljiccmtvjq

Article citation study: Context enhanced citation sentiment detection [article]

Vishal Vyas, Kumar Ravi, Vadlamani Ravi, V.Uma, Srirangaraj Setlur, Venu Govindaraju
2020 arXiv   pre-print
Ensembled features were considered as input to deep learning based approaches for citation sentiment classification, which is in turn compared with Bag-of-Words approach.  ...  Moreover, context-based samples are proved to be more effective than context-less samples for citation sentiment analysis.  ...  Deep learning approach We employed different deep learning architectures for sentiment classification purpose.  ... 
arXiv:2005.04534v1 fatcat:aetap2fmwrapvkmygiz54sl6im

Diversifying Citation Recommendations [article]

Onur Küçüktunç, Erik Saule, Kamer Kaya, Ümit V. Çatalyürek
2012 arXiv   pre-print
Unfortunately, these traditional engines use keyword-based approaches to solve the search problem, but these approaches are prone to ambiguity and synonymy.  ...  This paper targets the problem of result diversification in citation-based bibliographic search.  ...  We previously defined the class of direction aware algorithms based on personalized PageRank, which can be tuned to reach a variety of citation patterns, allowing them to match the patterns of recent or  ... 
arXiv:1209.5809v1 fatcat:on35bi7mebbjzn53pr6f4pi3ai

Citation pattern matching algorithms for citation-based plagiarism detection

Bela Gipp, Norman Meuschke
2011 Proceedings of the 11th ACM symposium on Document engineering - DocEng '11  
This paper introduces three algorithms and discusses their suitability for the purpose of Citation-based Plagiarism Detection.  ...  Citations are valuable language independent markers that are similar to a fingerprint.  ...  Citation-based Plagiarism Detection (CbPD) is a fundamentally different approach compared to the text-based similarity evaluations described above.  ... 
doi:10.1145/2034691.2034741 dblp:conf/doceng/GippM11 fatcat:lsrliasw55ditdlprqygi46lyu

Data Citation and the Citation Graph

Peter Buneman, Dennis Dosso, Matteo Lissandrini, Gianmaria Silvello
2021 Quantitative Science Studies  
The citation graph is a computational artifact that is widely used to represent the domain of published literature.  ...  We discuss how this extension would enable data citation to be represented within the citation graph and how it allows for improvements in current practices for bibliometric computations both for scientific  ...  The distinction is crucial to our understanding of the citation graph. If we look at what goes in the body of a paper, we may find, for example, "Austen, J. ( 2004 ). pp 101-104".  ... 
doi:10.1162/qss_a_00166 fatcat:ebd7ippgkvdzpmwliymnvehvje

Which percentile-based approach should be preferred for calculating normalized citation impact values? An empirical comparison of five approaches including a newly developed citation-rank approach (P100) [article]

Lutz Bornmann, Loet Leydesdorff, Jian Wang
2013 arXiv   pre-print
Percentiles are based on an ordered set of citation counts in a reference set, whereby the fraction of papers at or below the citation counts of a focal paper is used as an indicator for its relative citation  ...  Percentile-based approaches have been proposed as a non-parametric alternative to parametric central-tendency statistics to normalize observed citation counts.  ...  Acknowledgements The data used in this paper are from a bibliometrics database developed and maintained by  ... 
arXiv:1306.4454v2 fatcat:yf7i2ry6vnfjniasw3szcy4csy

Citation-based Plagiarism Detection [chapter]

Bela Gipp
2014 Citation-based Plagiarism Detection  
Therefore, Citation-based Plagiarism Detection is by no means a replacement for the currently used text-based approaches, but should be considered as a complement for identifying currently hard to find  ...  Additionally, once signs of plagiarism have been found, neither the text-based approaches, nor the citation-based approaches eliminate the need for manual examination.  ...  Citation-based Plagiarism Detection (CbPD) is a fundamentally different approach compared to text-based similarity evaluations.  ... 
doi:10.1007/978-3-658-06394-8_4 fatcat:mnoijds7o5gs7cxw3c3a2rgaqy

Classification of Research Citations (CRC) [article]

Bilal Hayat Butt, Muhammad Rafi, Arsal Jamal, Raja Sami Ur Rehman, Syed Muhammad Zubair Alam, Muhammad Bilal Alam
2015 arXiv   pre-print
A general approach in reviewing the literature for a problem is to categorize earlier work for the same problem as positive and negative citations.  ...  The algorithm is evaluated on a manually annotated and class labelled collection of 150 research papers from the domain of computer science. Our preliminary results show an accuracy of 80%.  ...  A general approach in reviewing the literature for a problem is to categorize earlier work for the same problem as positive and negative citations.  ... 
arXiv:1506.08966v1 fatcat:kgsijuy4ijcdnci2jpfealnl74

Diversifying Citation Recommendations

Onur Küçüktunç, Erik Saule, Kamer Kaya, Ümit V. Çatalyürek
2014 ACM Transactions on Intelligent Systems and Technology  
A set of experiments with various evaluation criteria shows that the proposed γ-RLM algorithm performs better than the existing approaches and is suitable for real-time bibliographic search in practice  ...  Techniques based on the citation information are more robust to the mentioned issues.  ...  For example, keyword-based approaches suffer from the confusion induced by different names of identical concepts in different fields.  ... 
doi:10.1145/2668106 fatcat:cofibhbt25btjfhtrft5qqqztm

University citation distributions

Antonio Perianes-Rodriguez, Javier Ruiz-Castillo
2015 Journal of the Association for Information Science and Technology  
Finally, regarding practical consequences, we only need a single explanatory model for the type of high skewness characterizing all university citation distributions, and the similarity of university citation  ...  We investigate the citation distributions of the 500 universities in the 2013 edition of the Leiden Ranking produced by The Centre for Science and Technological Studies.  ...  Acknowledgments This research project builds on earlier work by Javier Ruiz-Castillo during a research visit to the Centre for Science and Technology Studies of Leiden University.  ... 
doi:10.1002/asi.23619 fatcat:k6nekml3jnambkjjmnn2f5hqze
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