1,721,034 research outputs found
Formal Representations of Learning Scenarios: A Methodology to Configure E-Learning Systems
No full textNowadays, advanced E-Learning systems are generally pedagogy-aware. Commonly, these systems include facilities for defining so-called learning scenarios that reflect sophisticated pedagogical approaches such as collaborative writing or project-oriented learning. To support different learning activities from such scenarios the technological infrastructure of these systems must be appropriately adjusted and configured. Usually, this configuration process is laced with a number of difficulties. Most of these difficulties are caused by the fact that scenario capturing is achieved through informal user-developer dialogues. Typically, the result of such informal dialogues contains inconsistent and incomplete information because of misunderstandings and the complexity of the interactions within a scenario. Consequently, the configuration of the system is suboptimal and a number of iterations are required in order to achieve better results. In this paper an approach to improve this situation is presented. This approach is based on a general formal representation model for describing learning scenarios. A particular formal description of a concrete learning scenario is obtained through a user dialogue with a wizard tool. At the next step, this formal description might be automatically processed to facilitate configuration process. The paper is concluded with some experiences gained by applying this approach in two E-Learning projects
Luščenje ključnih besed in razpoznavanje entitet v besedilih s portala Reddit
Full text linkThe goal of this thesis was to create a pipeline for extraction of valuable information from short natural language texts, more specifically Reddit submissions. The two main areas of research that we covered were keyword extraction and named entity recognition for the extraction of keywords and the recognition of actors and movie titles in the texts. In our thesis we implemented and evaluated four different approaches for keyword extraction (RAKE, TextRank, LSTM and biLSTM networks) and three different approaches for named entity recognition (Spacy library models, Stanford NER and Fine-tuned BERT models). The analysis of the algorithms showed that the best results were achieved when using a three layered biLSTM network for keyword extraction, an uncased BERT model fine-tuned on the MIT movie corpus dataset for the recognition of actors, and the BERT model fine-tuned on the Ontonotes 5 dataset for the recognition of movie titles.Cilj te naloge je bila konstrukcija postopka za luščenje pomembnih podatkov iz kratkih besedil v naravnem jeziku, bolj specifično objav s spletnega portala Reddit. Dve glavni področji naših raziskav sta bili luščenje ključnih besed in razpoznavanje entitet. Za namene naloge smo implementirali in analizirali štiri algoritme za luščenje ključnih besed (RAKE, TextRank, nevronske mreže LSTM in biLSTM) in tri algoritme za razpoznavanje entitet (modeli knjižnice Spacy, Stanford NER in umerjeni modeli BERT). Analiza algoritmov je pokazala, da dosežemo najboljše rezultate z uporabo nevronske mreže s tremi sloji biLSTM za luščenje ključnih besed, model biLSTM za male črke, umerjen na podatkovni zbirki MIT movie corpus, za razpoznavanje imen igralcev in model, umerjen na podatkovni zbirki Ontonotes 5, za razpoznavanje naslovov filmov
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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
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