1,720,994 research outputs found
Commentaria in lamentationibus Jeremie prophete
No full textMit einer Vorrede von Franz Wyler. Impressum gemäss Kolophon.Bogensignaturen: a⁸, b-c⁶, d⁸, e⁴, f⁶, g⁸, h⁶, i⁸, k⁴, l⁸, m⁶, n⁴, o⁶, p
Nouvelles éditions de Paschase Radbert
No full textSilvestre Hubert. Nouvelles éditions de Paschase Radbert. In: Scriptorium, Tome 42 n°1, 1988. pp. 113-118
RadBERT: Adapting Transformer-based Language Models to Radiology
No full textPURPOSE: To investigate if tailoring a transformer-based language model to radiology is beneficial for radiology natural language processing (NLP) applications. MATERIALS AND METHODS: This retrospective study presents a family of bidirectional encoder representations from transformers (BERT)–based language models adapted for radiology, named RadBERT. Transformers were pretrained with either 2.16 or 4.42 million radiology reports from U.S. Department of Veterans Affairs health care systems nationwide on top of four different initializations (BERT-base, Clinical-BERT, robustly optimized BERT pretraining approach [RoBERTa], and BioMed-RoBERTa) to create six variants of RadBERT. Each variant was fine-tuned for three representative NLP tasks in radiology: (a) abnormal sentence classification: models classified sentences in radiology reports as reporting abnormal or normal findings; (b) report coding: models assigned a diagnostic code to a given radiology report for five coding systems; and (c) report summarization: given the findings section of a radiology report, models selected key sentences that summarized the findings. Model performance was compared by bootstrap resampling with five intensively studied transformer language models as baselines: BERT-base, BioBERT, Clinical-BERT, BlueBERT, and BioMed-RoBERTa. RESULTS: For abnormal sentence classification, all models performed well (accuracies above 97.5 and F1 scores above 95.0). RadBERT variants achieved significantly higher scores than corresponding baselines when given only 10% or less of 12 458 annotated training sentences. For report coding, all variants outperformed baselines significantly for all five coding systems. The variant RadBERT–BioMed-RoBERTa performed the best among all models for report summarization, achieving a Recall-Oriented Understudy for Gisting Evaluation–1 score of 16.18 compared with 15.27 by the corresponding baseline (BioMed-RoBERTa, P < .004). CONCLUSION: Transformer-based language models tailored to radiology had improved performance of radiology NLP tasks compared with baseline transformer language models. Keywords: Translation, Unsupervised Learning, Transfer Learning, Neural Networks, Informatics Supplemental material is available for this article. © RSNA, 2022 See also commentary by Wiggins and Tejani in this issue
Henri Peltier. — Pascase Radbert, abbé de Corbie. Contribution à l'étude de la vie monastique et de la pensée chrétienne aux temps carolingiens.
No full textLesne Émile. Henri Peltier. — Pascase Radbert, abbé de Corbie. Contribution à l'étude de la vie monastique et de la pensée chrétienne aux temps carolingiens. . In: Revue d'histoire de l'Église de France, tome 24, n°105, 1938. pp. 477-478
Henri Peltier. — Pascase Radbert, abbé de Corbie. Contribution à l'étude de la vie monastique et de la pensée chrétienne aux temps carolingiens.
No full textLesne Émile. Henri Peltier. — Pascase Radbert, abbé de Corbie. Contribution à l'étude de la vie monastique et de la pensée chrétienne aux temps carolingiens. . In: Revue d'histoire de l'Église de France, tome 24, n°105, 1938. pp. 477-478
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
No full text“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
No full textWe 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
Dispelling the Myths Behind First-author Citation Counts
No full textWe 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
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