967 resultados para Natural language techniques, Semantic spaces, Random projection, Documents


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In the Peruvian Andes, a long history of interaction between the local populations and their natural environment has led to extraordinary levels of agrobiodiversity. However, in sharp contrast with this biological wealth, Andean indigenous populations live under most precarious conditions. Moreover, natural resources are undergoing severe degradation processes and local knowledge about biodiversity management is under serious pressure. Against this background, the BioAndes Programme is developing initiatives based on a biocultural approach that aim at fostering biodiversity through the enhancement of cultural processes. On the basis of intercultural dialogue, joint learning and capacity development, and transdisciplinary action-research, indigenous communities, development practitioners, and researchers strive for the creation of innovative ways to contribute to more sustainable economic, socio-cultural, and political valorization of Andean biodiversity. Project activities are diverse and range from the cultivation, transformation, and commercialization of organic Andean fruits in San Marcos, Cajamarca Department, to the recuperation of natural dying techniques for alpaca wool and traditional weaving in Pitumarca, Cusco Department, and the promotion of responsible ecotourism in both regions. Based on the projects’ first two-years of experience, the following lessons learnt will be presented and discussed: 1. The economic valorization and commercialization of local products can be a powerful tool for the revival and innovation of eroded know-how; at the same time it contributes to the strengthening of local identities, in parallel with the empowerment of marginalized groups such as smallholders and women. 2. Such initiatives are only successful when they are embedded within activities that go beyond the focus on local products and seek the valorization of the entire natural and cultural landscape (e.g. through the promotion of agrotourism and local gastronomy, more sustainable management of local resources including the restoration of ecosystems, and the realization of inventories of local agrobiodiversity and the knowledge related to it). 3. The sustainability of these initiatives, which are often externally induced, is conditioned by the ability of local actors to acquire ownership of projects and access to the knowledge required to carry them out, which also means developing the personal and institutional capacities for handling the whole chain from production to commercialization. 4. The confrontation of different economic rationalities and their underlying worldviews that occur when local or indigenous people integrate into the market economy implies the need for a dialogical co-production of knowledge and collective action by local people, experts from NGOs, and political authorities in order to better control the conditions relating to the market economy. The valorization of local agrobiodiversity shows much potential for enhancing natural and cultural diversity in Southern countries, but only when local communities can participate in the shaping of the conditions under which this happens. Such activities should be designed in the mid- to long-term as part of social learning processes that are carefully embedded in the local context. Supporting institutions play a crucial role in these processes, but should see themselves only as facilitators, while ensuring that control and ownership remain with the local actors.

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In this paper we present a solution to the problem of action and gesture recognition using sparse representations. The dictionary is modelled as a simple concatenation of features computed for each action or gesture class from the training data, and test data is classified by finding sparse representation of the test video features over this dictionary. Our method does not impose any explicit training procedure on the dictionary. We experiment our model with two kinds of features, by projecting (i) Gait Energy Images (GEIs) and (ii) Motion-descriptors, to a lower dimension using Random projection. Experiments have shown 100% recognition rate on standard datasets and are compared to the results obtained with widely used SVM classifier.

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This article discusses the detection of discourse markers (DM) in dialog transcriptions, by human annotators and by automated means. After a theoretical discussion of the definition of DMs and their relevance to natural language processing, we focus on the role of like as a DM. Results from experiments with human annotators show that detection of DMs is a difficult but reliable task, which requires prosodic information from soundtracks. Then, several types of features are defined for automatic disambiguation of like: collocations, part-of-speech tags and duration-based features. Decision-tree learning shows that for like, nearly 70% precision can be reached, with near 100% recall, mainly using collocation filters. Similar results hold for well, with about 91% precision at 100% recall.

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This paper presents a conceptual approach to enhance knowledge management by synchronizing mind maps and fuzzy cognitive maps. The use of mind maps allows taking advantage of human creativity, while the application of fuzzy cognitive maps enables to store information expressed in natural language. By applying cognitive computing, it makes possible to gather and extract relevant information out of a data pool. Therefore, this approach is supposed to give a framework that enhances knowledge management. To demonstrate the potential of this framework, a use case concerning the development of a smart city app is presented.

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The natural environment and green spaces are settings that may facilitate physical activity and, as a result, combat childhood obesity and benefit children's physical health. A systematic review was conducted to assess the effect of children's engagement in outdoor activity on children's physical activity levels. A total of 169 articles were initially identified, of which 11 were eligible for inclusion in the systematic review. Studies were heterogeneous: cross-sectional, RCT, cohort, and direct observation. Study participants were between the ages of 3-15 years, and physical activity was measured by accelerometers, pedometers, direct observation or surveys. A majority of the studies (9/11) found a positive association between time spent outdoors and physical activity in children and adolescents. Of these 9 studies, 5 found this association specifically between time spent outdoors in greenspace and physical activity. Despite limitations, the findings of this review support the positive association between time spent outdoors and physical activity in children and adolescents, and the notion that children and adolescents who spend more time outdoors are more physically active. This demonstrates the need to use outdoor environments as settings for children's and adolescents' physical activity.^

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Clinical Research Data Quality Literature Review and Pooled Analysis We present a literature review and secondary analysis of data accuracy in clinical research and related secondary data uses. A total of 93 papers meeting our inclusion criteria were categorized according to the data processing methods. Quantitative data accuracy information was abstracted from the articles and pooled. Our analysis demonstrates that the accuracy associated with data processing methods varies widely, with error rates ranging from 2 errors per 10,000 files to 5019 errors per 10,000 fields. Medical record abstraction was associated with the highest error rates (70–5019 errors per 10,000 fields). Data entered and processed at healthcare facilities had comparable error rates to data processed at central data processing centers. Error rates for data processed with single entry in the presence of on-screen checks were comparable to double entered data. While data processing and cleaning methods may explain a significant amount of the variability in data accuracy, additional factors not resolvable here likely exist. Defining Data Quality for Clinical Research: A Concept Analysis Despite notable previous attempts by experts to define data quality, the concept remains ambiguous and subject to the vagaries of natural language. This current lack of clarity continues to hamper research related to data quality issues. We present a formal concept analysis of data quality, which builds on and synthesizes previously published work. We further posit that discipline-level specificity may be required to achieve the desired definitional clarity. To this end, we combine work from the clinical research domain with findings from the general data quality literature to produce a discipline-specific definition and operationalization for data quality in clinical research. While the results are helpful to clinical research, the methodology of concept analysis may be useful in other fields to clarify data quality attributes and to achieve operational definitions. Medical Record Abstractor’s Perceptions of Factors Impacting the Accuracy of Abstracted Data Medical record abstraction (MRA) is known to be a significant source of data errors in secondary data uses. Factors impacting the accuracy of abstracted data are not reported consistently in the literature. Two Delphi processes were conducted with experienced medical record abstractors to assess abstractor’s perceptions about the factors. The Delphi process identified 9 factors that were not found in the literature, and differed with the literature by 5 factors in the top 25%. The Delphi results refuted seven factors reported in the literature as impacting the quality of abstracted data. The results provide insight into and indicate content validity of a significant number of the factors reported in the literature. Further, the results indicate general consistency between the perceptions of clinical research medical record abstractors and registry and quality improvement abstractors. Distributed Cognition Artifacts on Clinical Research Data Collection Forms Medical record abstraction, a primary mode of data collection in secondary data use, is associated with high error rates. Distributed cognition in medical record abstraction has not been studied as a possible explanation for abstraction errors. We employed the theory of distributed representation and representational analysis to systematically evaluate cognitive demands in medical record abstraction and the extent of external cognitive support employed in a sample of clinical research data collection forms. We show that the cognitive load required for abstraction in 61% of the sampled data elements was high, exceedingly so in 9%. Further, the data collection forms did not support external cognition for the most complex data elements. High working memory demands are a possible explanation for the association of data errors with data elements requiring abstractor interpretation, comparison, mapping or calculation. The representational analysis used here can be used to identify data elements with high cognitive demands.

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Este trabajo se propone presentar la transformación de la Traductología desde la perspectiva de los Estudios de Género, dos campos del conocimiento que reconocen una impronta multi e interdisciplinaria. En cuanto a la primera, el giro cultural de los ochenta marca el momento en que se incluye a la traducción dentro del conjunto de subsistemas culturales con intereses competitivos y sujetos a las ideologías predominantes (Molina Martínez, 2006: 37). Paralelamente se instala en Canadá un terreno de estudio que vincula los desarrollos transculturales y translingüísticos surgidos de los movimientos feministas de los años setenta con la producción y recepción de textos, temas que son abarcados por la investigación sobre género y traducción. En ese contexto surge la noción de traducción en femenino o reescritura en femenino cuya finalidad es subvertir el lenguaje patriarcal y reivindicar las ideas feministas (Lotbinière-Harwood, 1991). Las estrategias discursivas y textuales utilizadas para resolver los problemas de traducción relacionados con el género "suplementación o compensación, la metatextualidad, el secuestro y el pacto especular" suelen recurrir al empleo de un lenguaje con alteraciones semánticas, neologismos o innovaciones lingüísticas, cuyo propósito es cuestionar la lengua actual y, a su vez, visibilizar la presencia femenina (Castro Vázquez, 2008: 296-298). En esta ponencia, nos detendremos en discutir y ejemplificar las estrategias citadas

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Esta tesina indaga en el ámbito de las Tecnologías de la Información sobre los diferentes desarrollos realizados en la interpretación automática de la semántica de textos y su relación con los Sistemas de Recuperación de Información. Partiendo de una revisión bibliográfica selectiva se busca sistematizar la documentación estableciendo de manera evolutiva los principales antecedentes y técnicas, sintetizando los conceptos fundamentales y resaltando los aspectos que justifican la elección de unos u otros procedimientos en la resolución de los problemas.

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En este texto se recupera la historia de los conflictos agrarios de Misiones y de las organizaciones gremiales de los agricultores familiares, colonos, con el propósito de rastrear la existencia de procesos de continuidad con el pasado. El objetivo principal es presentar una categoría mediante la cual se puede comprender un proceso de producción y reproducción de una representación social, política y cultural. En el marco de un abordaje etnográfico, la metodología se basó en la triangulación de datos obtenidos por diferentes técnicas (entrevistas abiertas, entrevistas semiestructuradas, observación participante, revisión de archivos documentales y periodísticos) y la revisión de bibliografía sobre el tema

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Este artículo presenta el Análisis Descriptivo como una estrategia del tratamiento de la información durante el proceso de investigación y su posible uso en estudios de diseño cualitativo. Muchas investigaciones en Ciencias Sociales y Humanas no contemplan la importancia de explicitar los soportes teórico-metodológicos de las inferencias explicativas o interpretación/es a la/s que se arriba, es decir, cómo es que se ha pasado del referente seleccionado (unidad de referencia), al argumento (modelo explicativo o interpretativo) con el que se lo pretende representar. De este modo, se suele ignorar el problema de la representación del referente en un dato tratable y la necesaria transformación del lenguaje natural (LN) en lenguaje descriptivo (LD). Se desarrollan dos ejemplos del campo de la Etología y de la Psicología, aplicando la estrategia metodológica del Análisis Descriptivo. En ellos se demuestra que la codificación que permite realizar este método toma en cuenta por un lado, la base de conocimientos e informaciones relativas a un dominio disciplinar particular y, por otro, permite evidenciar las inferencias seguidas en el razonamiento y las reglas de interpretación utilizadas para arribar a nuevos conocimientos

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Este artículo explora críticamente la tesis según la cual la lógica formal deductiva contemporánea proporciona métodos e instrumentos para una teoría de la evaluación de argumentos formulados en un lenguaje natural. En este artículo se sostiene que la teoría de la (in)validez de la lógica formal deductiva sólo se puede aplicar a los argumentos del lenguaje natural utilizando aquello que se quiere explicar teóricamente, i.e. Las intuiciones que los/las hablantes de un lenguaje natural tienen acerca de la relaciones de implicación lógica entre las expresiones de esa lengua. Se exploran también algunas consecuencias pedagógicas de esta crítica.

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Esta tesina indaga en el ámbito de las Tecnologías de la Información sobre los diferentes desarrollos realizados en la interpretación automática de la semántica de textos y su relación con los Sistemas de Recuperación de Información. Partiendo de una revisión bibliográfica selectiva se busca sistematizar la documentación estableciendo de manera evolutiva los principales antecedentes y técnicas, sintetizando los conceptos fundamentales y resaltando los aspectos que justifican la elección de unos u otros procedimientos en la resolución de los problemas.

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En este texto se recupera la historia de los conflictos agrarios de Misiones y de las organizaciones gremiales de los agricultores familiares, colonos, con el propósito de rastrear la existencia de procesos de continuidad con el pasado. El objetivo principal es presentar una categoría mediante la cual se puede comprender un proceso de producción y reproducción de una representación social, política y cultural. En el marco de un abordaje etnográfico, la metodología se basó en la triangulación de datos obtenidos por diferentes técnicas (entrevistas abiertas, entrevistas semiestructuradas, observación participante, revisión de archivos documentales y periodísticos) y la revisión de bibliografía sobre el tema

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Este artículo presenta el Análisis Descriptivo como una estrategia del tratamiento de la información durante el proceso de investigación y su posible uso en estudios de diseño cualitativo. Muchas investigaciones en Ciencias Sociales y Humanas no contemplan la importancia de explicitar los soportes teórico-metodológicos de las inferencias explicativas o interpretación/es a la/s que se arriba, es decir, cómo es que se ha pasado del referente seleccionado (unidad de referencia), al argumento (modelo explicativo o interpretativo) con el que se lo pretende representar. De este modo, se suele ignorar el problema de la representación del referente en un dato tratable y la necesaria transformación del lenguaje natural (LN) en lenguaje descriptivo (LD). Se desarrollan dos ejemplos del campo de la Etología y de la Psicología, aplicando la estrategia metodológica del Análisis Descriptivo. En ellos se demuestra que la codificación que permite realizar este método toma en cuenta por un lado, la base de conocimientos e informaciones relativas a un dominio disciplinar particular y, por otro, permite evidenciar las inferencias seguidas en el razonamiento y las reglas de interpretación utilizadas para arribar a nuevos conocimientos

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Este artículo explora críticamente la tesis según la cual la lógica formal deductiva contemporánea proporciona métodos e instrumentos para una teoría de la evaluación de argumentos formulados en un lenguaje natural. En este artículo se sostiene que la teoría de la (in)validez de la lógica formal deductiva sólo se puede aplicar a los argumentos del lenguaje natural utilizando aquello que se quiere explicar teóricamente, i.e. Las intuiciones que los/las hablantes de un lenguaje natural tienen acerca de la relaciones de implicación lógica entre las expresiones de esa lengua. Se exploran también algunas consecuencias pedagógicas de esta crítica.