Showing 1 - 20 results of 39 for search '"Wikipedia"', query time: 0.05s Refine Results
  1. 1
  2. 2

    Wikipedia and archival problems: A Derridean impression by Dominic Pretorius

    Published 2019-10-01
    Subjects: “…Wikipedia and archival problems: A Derridean impression…”
    Get full text
    Article
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

    Analysing Geo-linguistic Dynamics of the World Wide Web: The Use of Cartograms and Network Analysis to Understand Linguistic Development in Wikipedia by Liao Han-teng, Petzold Thomas

    Published 2010-01-01
    “…This article discusses the usefulness of geo-linguistic analysis for Internet studies by presenting two techniques to frame and visualize the linguistic development of the World Wide Web, in particular the geo-linguistic development amongst different language versions of Wikipedia. An emergent research agenda has been set to explore the multilingual aspects of the Internet using, for example, a global perspective on Wikipedia research. …”
    Get full text
    Article
  11. 11
  12. 12
  13. 13
  14. 14
  15. 15
  16. 16

    Valoriser le patrimoine culturel pyrénéen à l’aide d’une plateforme et d’une application mobile by Landy Rajaonarivo, Marie-Noëlle Bessagnet, Christian Sallaberry, Annig Le Parc Lacayrelle, Philippe Roose

    Published 2021-05-01
    “…One consists in publishing these data into the database of well-known open data platforms such as Wikipedia. The other one consists in an open source mobile application dedicated to touristic itineraries. …”
    Get full text
    Article
  17. 17

    Comprehensive Study on Zero-Shot Text Classification Using Category Mapping by Kai Zhang, Qiuxia Zhang, Chung-Che Wang, Jyh-Shing Roger Jang

    Published 2025-01-01
    “…This paper employs three strategies to improve the accuracy and generalization of pre-trained models in zero-shot text classification tasks: 1) Utilizing a pre-trained model that transforms inputs into a standardized multiple-choice format. 2) Constructing a text classification training set using Wikipedia text data to fine-tune the pre-trained model; 3) Proposing a zero-shot category mapping method based on GloVe text similarity, using Wikipedia categories as substitutes for text labels. …”
    Get full text
    Article
  18. 18

    ACUTE TOXICITY, PHYTOCHEMICAL SCREENING, AND ANTIMICROBIAL INVESTIGATION OF AQUEOUS EXTRACT OF SODOM APPLE TREE (Calotropis procera Ait.F) LEAF OBTAINED WITHIN ANCHOR UNIVERSITY, L... by Olatunde A Oseni, Hilda A Emmanuel-Akerele, Wuraola A Adebayo

    Published 2021-12-01
    “…<em>Calotropis procera </em>is a species of <a title="Flowering plant" href="https://en.wikipedia.org/wiki/Flowering_plant">flowering plant</a>, in the family <a title="Apocynaceae" href="https://en.wikipedia.org/wiki/Apocynaceae"><em>Apocynaceae</em></a><em>, </em>the investigation of <em>Calotropis procera</em> for its medicinal usefulness has not been fully documented in the literatures. …”
    Get full text
    Article
  19. 19

    Comparison of Language Models for English-Latvian Semantic Search by Kucheravy Artem, Jēkabsons Gints

    Published 2025-01-01
    “…A dataset of 77736 pairs of articles from Latvian and English Wikipedia was created, transformed into embedding vectors, and used for retrieval experiments with brute force search, Hierarchical Navigable Small World method, and Inverted File Indexing method. …”
    Get full text
    Article
  20. 20

    Deep learning Chinese input method with incremental vocabulary selection by Huajian REN, Xiulan HAO, Wenjing XU

    Published 2022-12-01
    “…The core task of an input method is to convert the keystroke sequences typed by users into Chinese character sequences.Input methods applying deep learning methods have advantages in learning long-range dependencies and solving data sparsity problems.However, the existing methods still have two shortcomings: the separation structure of pinyin slicing in conversion leads to error propagation, and the model is complicated to meet the demand for real-time performance of the input method.A deep-learning input method model incorporating incremental word selection methods was proposed to address these shortcomings.Various softmax optimization methods were compared.Experiments on People’s Daily data and Chinese Wikipedia data show that the model improves the conversion accuracy by 15% compared with the current state-of-the-art model, and the incremental vocabulary selection method makes the model 130 times faster without losing conversion accuracy.…”
    Get full text
    Article