-
Geras, A.; Siudem, G.; Gagolewski, M.: Should we introduce a dislike button for academic articles? (2020)
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- Date
- 6. 1.2020 18:10:22
-
Safder, I.; Ali, M.; Aljohani, N.R.; Nawaz, R.; Hassan, S.-U.: Neural machine translation for in-text citation classification (2023)
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- Abstract
- The quality of scientific publications can be measured by quantitative indices such as the h-index, Source Normalized Impact per Paper, or g-index. However, these measures lack to explain the function or reasons for citations and the context of citations from citing publication to cited publication. We argue that citation context may be considered while calculating the impact of research work. However, mining citation context from unstructured full-text publications is a challenging task. In this paper, we compiled a data set comprising 9,518 citations context. We developed a deep learning-based architecture for citation context classification. Unlike feature-based state-of-the-art models, our proposed focal-loss and class-weight-aware BiLSTM model with pretrained GloVe embedding vectors use citation context as input to outperform them in multiclass citation context classification tasks. Our model improves on the baseline state-of-the-art by achieving an F1 score of 0.80 with an accuracy of 0.81 for citation context classification. Moreover, we delve into the effects of using different word embeddings on the performance of the classification model and draw a comparison between fastText, GloVe, and spaCy pretrained word embeddings.
-
Facetten von Wolf Stock und ihre Bedeutung für die Informationswissenschaft : Festschrift zu Ehren von Wolfgang G. Stock (2020)
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- Abstract
- Diese Festschrift ist Professor Wolfgang G. Stock anlässlich seiner Pensionierung im Jahr 2019 gewidmet. Seit 2003 war Stock Nachfolger von Professor Norbert Henrichs für den Lehrstuhl Informationswissenschaft an der Heinrich-Heine-Universität Düsseldorf. Er beeinflusste dabei die heutige Ausrichtung des Studiengangs in besonderem Maße und prägte mit mehr als 300 vielfältigen und interdisziplinären Artikeln die informationswissenschaftliche Publikationslandschaft. Anlässlich seiner Pensionierung präsentiert diese Festschrift eine bunte Vielfalt an Beiträgen, welche die vielen Facetten von Stocks Wirken beleuchten und seine Leistungen als Universitätsprofessor, Wissenschaftler und Mentor würdigen sollen. Die Beiträge zeigen dabei sowohl Stocks Tätigkeiten in der Forschung hinsichtlich diverser Themen und Kollaborationen auf als auch seine Bedeutung für die informationswissenschaftliche Lehre. Auch ganz persönliche Erfahrungen aus der Zusammenarbeit mit Stock werden thematisiert.
- Biographed
- Stock, Wolfgang G.
- Content
- Was zählt eine Publikation? - Möglichkeiten zur Durchführung einer Forschungsevaluierung im Bereich der Betriebswirtschaftslehre (Gerhard Reichmann) Wolfgang G. Stock - Ein bibliometrischer Rückblick auf eine Karriere in der Informationswissenschaft (Isabella Peters, Jasmin Schmitz, Katrin Weller, Stefanie Haustein, Violeta Trkulja) Informetrische Analyse der Abschlussarbeiten der Düsseldorfer Informationswissenschaft (Mohamed Abdillah, Anneliese Volkmar) Was Wissenschaft und (publizistische) Praxis voneinander lernen können - Erfahrungen aus einer jahrzehntelangen Zusammenarbeit Wolf Stock und die Grazer Informationswissenschaft - Der Wandel einer Wissenschaftsdisziplin in den Jahren der Zusammenarbeit (Wolf Rauch, Christian Schlögl) Suchmaschinenforschung in Anknüpfung an Wolf Stock (Dirk Lewandowski) "Ein Bild sagt mehr als tausend Worte" - Inhaltsanalyse der Social-Media-Bilder von Wolfgang G. Stock (Katrin Scheibe, Franziska Zimmer) Von der Grundlagen- zur angewandten Forschung - Meine kleine Reise mit und ohne Wolfgang G. Stock (Milos Jovanovic) Publikationsliste von Wolfgang G. Stock
- Type
- m
-
Bischoff, M.: KI lernt die Sprache der Mathematik (2020)
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- Content
- Verweis auf: Lample, G., Charton, F.: Deep learning for symbolic mathematics. ArXiv: 11912.01412, 2019.
-
Zilm, G.: "Kl ist ein glorifizierter Taschenrechner" (2023)
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- Date
- 27. 1.2023 16:22:55
-
Zhang, Y.; Wu, M.; Zhang, G.; Lu, J.: Stepping beyond your comfort zone : diffusion-based network analytics for knowledge trajectory recommendation (2023)
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- Date
- 22. 6.2023 18:07:12
-
Balakrishnan, U,; Soergel, D.; Helfer, O.: Representing concepts through description logic expressions for knowledge organization system (KOS) mapping (2020)
0.03
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- Source
- Knowledge Organization at the Interface. Proceedings of the Sixteenth International ISKO Conference, 2020 Aalborg, Denmark. Ed.: M. Lykke et al
-
Habermas, J.: Überlegungen und Hypothesen zu einem erneuten Strukturwandel der politischen Öffentlichkeit : ¬Ein neuer Strukturwandel der Öffentlichkeit? Hrsg.: M. Seeliger u. S. Sevignani (2021)
0.03
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-
Deng, Z.; Deng, Z.; Fan, G.; Wang, B.; Fan, W.(P.); Liu, S.: More is better? : understanding the effects of online interactions on patients health anxiety (2023)
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- Abstract
- Online health platforms play an important role in chronic disease management. Patients participate in online health platforms to receive and provide health-related support from each other. However, there remains a debate about whether the influence of social interaction on patient health anxiety is linearly positive. Based on uncertainty, information overload, and the theory of motivational information management, we develop and test a model considering a potential curvilinear relationship between social interaction and health anxiety, as well as a moderating effect of health literacy. We collect patient interaction data from an online health platform based on chronic disease management in China and use text mining and econometrics to test our hypotheses. Specifically, we find an inverted U-shaped relationship between informational provision and health anxiety. Our results also show that information receipt and emotion provision have U-shaped relationships with health anxiety. Interestingly, health literacy can effectively alleviate the U-shaped relationship between information receipt and health anxiety. These findings not only provide new insights into the literature on online patient interactions but also provide decision support for patients and platform managers.
-
Butlin, P.; Long, R.; Elmoznino, E.; Bengio, Y.; Birch, J.; Constant, A.; Deane, G.; Fleming, S.M.; Frith, C.; Ji, X.; Kanai, R.; Klein, C.; Lindsay, G.; Michel, M.; Mudrik, L.; Peters, M.A.K.; Schwitzgebel, E.; Simon, J.; VanRullen, R.: Consciousness in artificial intelligence : insights from the science of consciousness (2023)
0.03
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-
Liang, Z.; Mao, J.; Li, G.: Bias against scientific novelty : a prepublication perspective (2023)
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- Abstract
- Novel ideas often experience resistance from incumbent forces. While evidence of the bias against novelty has been widely identified in science, there is still a lack of large-scale quantitative work to study this problem occurring in the prepublication process of manuscripts. This paper examines the association between manuscript novelty and handling time of publication based on 778,345 articles in 1,159 journals indexed by PubMed. Measuring the novelty as the extent to which manuscripts disrupt existing knowledge, we found systematic evidence that higher novelty is associated with longer handling time. Matching and fixed-effect models were adopted to confirm the statistical significance of this pattern. Moreover, submissions from prestigious authors and institutions have the advantage of shorter handling time, but this advantage is diminishing as manuscript novelty increases. In addition, we found longer handling time is negatively related to the impact of manuscripts, while the relationships between novelty and 3- and 5-year citations are U-shape. This study expands the existing knowledge of the novelty bias by examining its existence in the prepublication process of manuscripts.
-
Ibrahim, G.M.; Taylor, M.: Krebszellen manipulieren Neurone : Gliome (2023)
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- Source
- Spektrum der Wissenschaft. 2023, H.10, S.22-24
-
Noever, D.; Ciolino, M.: ¬The Turing deception (2022)
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- Source
- https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
-
Dogtas, G.; Ibitz, M.-P.; Jonitz, F.; Kocher, V.; Poyer, A.,; Stapf, L.: Kritik an rassifizierenden und diskriminierenden Titeln und Metadaten : Praxisorientierte Lösungsansätze (2022)
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-
Reus, G.: Sprache in den Medien (2020)
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- Type
- m
-
Heng, G.; Cole, T.W.; Tian, T.(C.); Han, M.-J.: Rethinking authority reconciliation process (2022)
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-
Candela, G.: ¬An automatic data quality approach to assess semantic data from cultural heritage institutions (2023)
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- Date
- 22. 6.2023 18:23:31
-
Daquino, M.; Peroni, S.; Shotton, D.; Colavizza, G.; Ghavimi, B.; Lauscher, A.; Mayr, P.; Romanello, M.; Zumstein, P.: ¬The OpenCitations Data Model (2020)
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-
Geras, A.; Siudem, G.; Gagolewski, M.: Time to vote : temporal clustering of user activity on Stack Overflow (2022)
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- Abstract
- Question-and-answer (Q&A) sites improve access to information and ease transfer of knowledge. In recent years, they have grown in popularity and importance, enabling research on behavioral patterns of their users. We study the dynamics related to the casting of 7 M votes across a sample of 700 k posts on Stack Overflow, a large community of professional software developers. We employ log-Gaussian mixture modeling and Markov chains to formulate a simple yet elegant description of the considered phenomena. We indicate that the interevent times can naturally be clustered into 3 typical time scales: those which occur within hours, weeks, and months and show how the events become rarer and rarer as time passes. It turns out that the posts' popularity in a short period after publication is a weak predictor of its overall success, contrary to what was observed, for example, in case of YouTube clips. Nonetheless, the sleeping beauties sometimes awake and can receive bursts of votes following each other relatively quickly.
-
Praxishandbuch Forschungsdatenmanagement (2021)
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- Editor
- Putnings, M., H. Neuroth u. J. Neumann
- Type
- m
