1,720,972 research outputs found
A multi-level multi-label text classification dataset of 19th century Ottoman and Russian literary and critical texts
Get PDFThis paper introduces a multi-level, multi-label text classification dataset comprising over 3000 documents. The dataset features literary and critical texts from 19th-century Ottoman Turkish and Russian. It is the first study to apply large language models (LLMs) to this dataset, sourced from prominent literary periodicals of the era. The texts have been meticulously organized and labeled. This was done according to a taxonomic framework that takes into account both their structural and semantic attributes. Articles are categorized and tagged with bibliometric metadata by human experts. We present baseline classification results using a classical bag-of-words (BoW) naive Bayes model and three modern LLMs: multilingual BERT, Falcon, and Llama-v2. We found that in certain cases, Bag of Words (BoW) outperforms Large Language Models (LLMs), emphasizing the need for additional research, especially in low-resource language settings. This dataset is expected to be a valuable resource for researchers in natural language processing and machine learning, especially for historical and low-resource languages. The dataset is publicly available
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
YOĞUN DERİNLİK TAHMİNLERİNİN İNSAN POZ VE ŞEKİL TAHMİNİ İÇİN BİR DENETİM KAYNAĞI OLARAK İNCELEMESİ
No full textThis thesis examines the effectiveness of dense depth information obtained by state-of-the-art depth estimation models in learning 3D human pose and shape (HPS) estimation from a monocular image. Collecting ground-truth data to supervise HPS estimation is costly and constrained to limited lab environments. Researchers have used priors based on body structure or kinematics, cues obtained from other vision tasks such as optical flow and segmentation, and self-supervised tasks to mitigate the scarcity of supervision. Despite its apparent potential in this context, monocular depth estimation has yet to be explored. We address this by first defining a dense mapping and alignment between the points on the surface of the human mesh and the points reconstructed from depth estimation. We then propose and extensively evaluate several loss functions. Firstly, we introduce DDA that combines dense mapping and alignment with a simple minimum squared distance loss. We extend it with DRT, a loss function to enforce the similarity transform between the target and the predicted body parts to be close to identity. Lastly, we propose MotionDRT that enforces motion consistency between depth and HPS predictions to train video HPS estimation models. Our experiments on Human3.6M and 3DPW datasets show that the proposed mapping, alignment, and loss calculation pipeline significantly improves HPS estimation performance over using only 2D keypoint supervision or 2D and 3D supervision.Bu tez, güncel derinlik tahmin modelleri tarafından elde edilen yoğun derinlik bilgisinin, tek bir kamera görüntüsünden 3B insan pozu ve şekli (İPŞ) tahmini öğrenme üzerindeki etkinliğini incelemektedir. İPŞ tahminini denetlemek için gerçek veri toplamak maliyetli ve sınırlı laboratuvar ortamlarına bağlı bir işlemdir. Araştırmacılar, denetim eksikliğini hafifletmek için vücut yapısı veya kinematiğe dayalı öncelikler, optik akış ve segmentasyon gibi diğer bilgisayarlı görü görevlerinden elde edilen ipuçları ve özdenetimli görevleri kullanmışlardır. Bu bağlamdaki açık potansiyeline rağmen, tek bakışlı derinlik tahmini henüz incelenmemiştir. Bu eksikliği ele almak için, önce insan örgü yüzeyindeki noktalar ile derinlik tahmininden rekonstrüe edilen noktalar arasında yoğun bir eşleme ve hizalama tanımlıyoruz. Daha sonra birkaç yitim fonksiyonu öneriyor ve bunları kapsamlı bir şekilde değerlendiriyoruz. Human3.6M ve 3DPW veri setleri üzerinde yaptığımız deneyler, önerilen eşleme, hizalama ve yitim hesaplama işleminin, yalnızca 2B anahtar nokta denetimi veya 2B ve 3B denetimi kullanmaktan önemli ölçüde daha iyi İPŞ tahmini performansına sahip olduğunu göstermektedir.Ph.D. - Doctoral Progra
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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