1,720,987 research outputs found
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
Extra??o autom?tica de conceitos a partir de textos em l?ngua portuguesa
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Previous issue date: 2012-01-26This thesis describes a process to extract concepts from texts in portuguese language. The proposed process starts with linguistic annotated corpora from specific domains, and it generates lists of concepts for each corpus. The proposal of a linguistic oriented extraction procedure based on noun phrase detection, and a set of heuristics to improve the overall quality of concept candidate extraction is made. The improvement in precision and recall of extracted term list is from approximatively from 10% to more more than 60%. A new index (tf-dcf) based on contrastive corpora is proposed to sort the concept candidate terms according to the their relevance to their respective domain. The precision results achieved by this new index are superior to to the results achieved by indices proposed in similar works. Cut-off points are proposed in order to identify, among extracted concept candidate terms sorted according to their relevance, which of them will be considered concepts. A hybrid approach to choose cut-off points delivers reasonable F-measure values, and it brings quality to the concept identification process. Additionally, four applications are proposed in order to facilitate the comprehension, handling, and visualization of extracted terms and concepts. Such applications enlarge this thesis contributions available to a broader community of researchers and users of Natural Language Processing area. The proposed process is described in detail, and experiments empirically evaluate each process step. Besides the scientific contribution made with the process proposal, this thesis also delivers extracted concept lists for five different domain corpora, and the prototype of a software tool (EχATOLP) implementing all steps of the proposed process.Essa tese descreve um processo para extrair conceitos de textos em l?ngua portuguesa. O processo proposto inicia com corpora de dom?nio linguisticamente anotados, e gera listas de conceitos dos dom?nios de cada corpus. Utiliza-se uma abordagem lingu?stica, que baseia-se na identifica??o de sintagmas nominais e um conjunto de heur?sticas que melhoram a qualidade da extra??o de candidatos a conceitos. Essa melhora ? expressa por incrementos aproximadamente de 10% para mais de 60% nos valores de precis?o e abrang?ncia das listas de termos extra?das. Prop?e-se um novo ?ndice (tf-dcf) baseado na compara??o com corpora contrastantes, para ordenar os termos candidatos a conceito extra?dos de acordo com suas relev?ncias para o corpus de dom?nio. Os resultados obtidos com esse novo ?ndice s?o superiores aos resultados obtidos com ?ndices propostos em trabalhos similares. Aplicam-se pontos de corte para identificar, dentre os termos candidatos classificados segundo sua relev?ncia, quais ser?o considerados conceitos. O uso de uma abordagem h?brida para escolha de pontos de corte fornece valores adequados de medida F, trazendo qualidade ao processo de identifica??o de conceitos. Adicionalmente. prop?em-se quatro aplica??es para facilitar a compreens?o, manipula??o e visualiza??o dos termos e conceitos extra?dos. Essas aplica??es tornam as contribui??es dessa tese acess?veis a um maior n?mero de pesquisadores e usu?rios da ?rea de Processamento de Linguagem Natural. Todo o processo proposto ? descrito em detalhe, e experimentos avaliam empiricamente cada passo. Al?m das contribui??es cient?ficas feitas com a proposta do processo, essa tese tamb?m apresenta listas de conceitos extra?dos para cinco diferentes corpora de dom?nio, e o prot?tipo de numa ferramenta de software (EXATOLP) que implementa todos os passos propostos
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
Extração automática de conceitos a partir de textos em língua portuguesa
Full text linkEssa tese descreve um processo para extrair conceitos de textos em língua portuguesa. O processo proposto inicia com corpora de domínio linguisticamente anotados, e gera listas de conceitos dos domínios de cada corpus. Utiliza-se uma abordagem linguística, que baseia-se na identificação de sintagmas nominais e um conjunto de heurísticas que melhoram a qualidade da extração de candidatos a conceitos. Essa melhora é expressa por incrementos aproximadamente de 10% para mais de 60% nos valores de precisão e abrangência das listas de termos extraídas. Propõe-se um novo índice (tf-dcf) baseado na comparação com corpora contrastantes, para ordenar os termos candidatos a conceito extraídos de acordo com suas relevâncias para o corpus de domínio. Os resultados obtidos com esse novo índice são superiores aos resultados obtidos com índices propostos em trabalhos similares. Aplicam-se pontos de corte para identificar, dentre os termos candidatos classificados segundo sua relevância, quais serão considerados conceitos. O uso de uma abordagem híbrida para escolha de pontos de corte fornece valores adequados de medida F, trazendo qualidade ao processo de identificação de conceitos. Adicionalmente. propõem-se quatro aplicações para facilitar a compreensão, manipulação e visualização dos termos e conceitos extraídos. Essas aplicações tornam as contribuições dessa tese acessíveis a um maior número de pesquisadores e usuários da área de Processamento de Linguagem Natural. Todo o processo proposto é descrito em detalhe, e experimentos avaliam empiricamente cada passo. Além das contribuições científicas feitas com a proposta do processo, essa tese também apresenta listas de conceitos extraídos para cinco diferentes corpora de domínio, e o protótipo de numa ferramenta de software (EXATOLP) que implementa todos os passos propostos.This thesis describes a process to extract concepts from texts in portuguese language. The proposed process starts with linguistic annotated corpora from specific domains, and it generates lists of concepts for each corpus. The proposal of a linguistic oriented extraction procedure based on noun phrase detection, and a set of heuristics to improve the overall quality of concept candidate extraction is made. The improvement in precision and recall of extracted term list is from approximatively from 10% to more more than 60%. A new index (tf-dcf) based on contrastive corpora is proposed to sort the concept candidate terms according to the their relevance to their respective domain. The precision results achieved by this new index are superior to to the results achieved by indices proposed in similar works. Cut-off points are proposed in order to identify, among extracted concept candidate terms sorted according to their relevance, which of them will be considered concepts. A hybrid approach to choose cut-off points delivers reasonable F-measure values, and it brings quality to the concept identification process. Additionally, four applications are proposed in order to facilitate the comprehension, handling, and visualization of extracted terms and concepts. Such applications enlarge this thesis contributions available to a broader community of researchers and users of Natural Language Processing area. The proposed process is described in detail, and experiments empirically evaluate each process step. Besides the scientific contribution made with the process proposal, this thesis also delivers extracted concept lists for five different domain corpora, and the prototype of a software tool (EχATOLP) implementing all steps of the proposed process
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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