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Community Detection Based on Readers' Borrowing Records
2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, 2013 Academic libraries have recently adopted recommender systems to provide personalized service for increased library-resource use and personalized educations. Readers' borrowing records help libraries to realize reader preferences and the recommender systems further provide book recommendations for readers.
Liu Xin, Haihong E, Junde Song
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Automatic detection of borrowing (Open problems in computational diversity linguistics 2) [PDF]
, 2019 This is the third of a series of 12 blog posts published in 2019, discussing open problems in computational diversity linguistics. It discusses the problem of automatic borrowing detection.
Johann-Mattis List
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, 2020 Students borrow books in university libraries with diverse motivations that associated with individual demographic characterists and therefore group into communities of students. In this paper, we analyze the relationship between demographic characterists and network communities of student borrowing behaviors using CDM.
Fanjing Kong +2 more
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Incorporating Code-Switching and Borrowing in Dutch-English Automatic Language Detection on Twitter
, 2018 This paper presents a classification system to automatically identify the language of individual tokens in Dutch-English bilingual Tweets. A dictionary-based approach is used as the basis of the system, and additional features are introduced to address the challenges associated with identifying closely related languages.
Samantha Kent, Daniel Claeser
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RoaDSaVe: A Robust Lane Detection Method Based on Validity Borrowing From Reliable Lines
IEEE Sensors Journal, 2023 Hossein Maghsoumi +2 more
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Diachronica, 2003
Two computational methods for detecting borrowing among a family of genetically related languages are proposed. One method, based on the detection of branches with negative length in lexicostatistical trees, is shown to work poorly. As we demonstrate, this method is similar to another recently proposed method for detecting borrowing based on skewing in
James W. Minett, William S-Y. Wang
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Two computational methods for detecting borrowing among a family of genetically related languages are proposed. One method, based on the detection of branches with negative length in lexicostatistical trees, is shown to work poorly. As we demonstrate, this method is similar to another recently proposed method for detecting borrowing based on skewing in
James W. Minett, William S-Y. Wang
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Key Borrowers Detected by the Intensities of Their Interactions
2020We propose a novel method to estimate the level of interconnectedness of a financial institution or system, as the measures currently suggested in the literature do not fully take into consideration an important aspect of interconnectedness — group interactions of agents.
Fuad Aleskerov +3 more
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Lexical language models for borrowing detection
2020Code and data for reproducing the results of the "Using lexical language models to detect borrowings in monolingual wordlists ...
Tresoldi, Tiago +2 more
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Borrowing Words: Transfer Learning for Reported Speech Detection in Slovenian News Texts [PDF]
Proceedings of Data Mining and Data Warehauses – Sikdd 2024openaire +2 more sources
Principles of development of expert competence of detection of borrowings.
Russ. Digit. Libr. J., 2017 Nataliya Pachina +2 more
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