911 research outputs found

    Gold Standard Online Debates Summaries and First Experiments Towards Automatic Summarization of Online Debate Data

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    Usage of online textual media is steadily increasing. Daily, more and more news stories, blog posts and scientific articles are added to the online volumes. These are all freely accessible and have been employed extensively in multiple research areas, e.g. automatic text summarization, information retrieval, information extraction, etc. Meanwhile, online debate forums have recently become popular, but have remained largely unexplored. For this reason, there are no sufficient resources of annotated debate data available for conducting research in this genre. In this paper, we collected and annotated debate data for an automatic summarization task. Similar to extractive gold standard summary generation our data contains sentences worthy to include into a summary. Five human annotators performed this task. Inter-annotator agreement, based on semantic similarity, is 36% for Cohen's kappa and 48% for Krippendorff's alpha. Moreover, we also implement an extractive summarization system for online debates and discuss prominent features for the task of summarizing online debate data automatically.Comment: accepted and presented at the CICLING 2017 - 18th International Conference on Intelligent Text Processing and Computational Linguistic

    G92-1107 Elm Leaf Beetle

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    History, identification, and indoor and outdoor control of the elm leaf beetle are discussed. The elm leaf beetle is an imported pest, first found in the United States in 1834. Common throughout Nebraska, it is almost exclusively a pest of elms, including the American, Siberian and other varieties. Japanese Zelkova is also readily attacked. Adults (beetles) vary in color from yellow to olive green, and have a black stripe near the outside of each wing cover. They can be confused with other beetles of similar appearance (western corn rootworm, striped cucumber beetle), but they are distinctive in that they occur early in the season and have three dark spots on the body segment behind the head

    Electron-electron interaction in carbon nanostructures

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    The electron-electron interaction in carbon nanostructures was studied. A new method which allows to determine the electron-electron interaction constant λc\lambda_c from the analysis of quantum correction to the magnetic susceptibility and the magnetoresistance was developed. Three types of carbon materials: arc-produced multiwalled carbon nanotubes (arc-MWNTs), CVD-produced catalytic multiwalled carbon nanotubes (c-MWNTs) and pyrolytic carbon were used for investigation. We found that λc\lambda_c=0.2 for arc-MWNTs (before and after bromination treatment); λc\lambda_c = 0.1 for pyrolytic graphite; λc>\lambda_c > 0 for c-MWNTs. We conclude that the curvature of graphene layers in carbon nanostructures leads to the increase of the electron-electron interaction constant λc\lambda_c.Comment: 12 pages, 18 figures, to be published in the Proceedings of the NATO Advanced Research Workshop on Electron Correlation in New Materials and Nanosystems, NATO Science Series II, Springer, 200

    Dinámica de crecimiento urbano y pérdida de suelos productivos en el Gran Buenos Aires (Argentina), 1869-2011. Análisis espacial basado en sistemas de información geográfica

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    El Gran Buenos Aires (GBA) constituye un espacio geográfico que ha recibido particular atención como objeto de estudio. Como ciudad primada concentra 11.453.725 habitantes (INDEC, 2001), 31,6 % de la población total del país, en 3.830 km2 que representan el 0,14 % de su territorio nacional. El presente trabajo analiza la evolución espacial de la Aglomeración Gran Buenos Aires (AGBA), el proceso de expansión suburbana entre 1869 y 2011 (tomando las fechas correspondientes a los censos nacionales de población y una estimación de evolución hacia el último año). En el análisis se han distinguido diferentes periodos claramente asociados a características políticas, económicas y demográficas que han incidido en el proceso. La problemática territorial corresponde al cambio de uso del suelo de rural a urbano perdiéndose suelos de diferentes niveles de productividad según su capacidad para usos agropecuarios (asociado con las unidades cartográficas de suelo y los índices de productividad). El análisis se realiza a través de la tecnología de los Sistemas de Información Geográfica (SIG) de estructura raster como base para la aplicación de procedimientos de asociación espacial (modelado cartográfico) y evolución espacial (autómatas celulares) en la generación de resultados espacio-temporales. La cartografía digital y los resultados numéricos obtenidos pueden considerarse una herramienta de gran importancia para la toma de decisiones espaciales en la definición de lineamientos en planificación territorial.Great Buenos Aires (GBA) constitutes a geographical space that has received particular attention as study object. As a primate city of Argentina it concentrates 11.453.725 nhabitants (INDEC, 2001), 31,6 % of the total population of the country, on 3.830 km2 that represents 0,14 % of the national territory. The present work analyzes the spatial evolution of the Great Buenos Aires Agglomeration, the urban sprawl between 1869 and 2011 (taking the dates corresponding to the national population censuses and an estimation of evolution towards the last year). In the analysis different periods are distinguished clearly associated with political, economic and demographic characteristics that impact in the process. The territorial problematic orresponds to the land use change from rural to urban uses losing soils of different levels of productivity related to its use capacity for agricultural and cattle (associated with cartographic soil units and productivity index). The analysis is carried out with Geographical Information Systems (GIS) technology in raster structure for the application of procedures related to spatial association (cartographic modeling) and spatial evolution (cellular automata) in the generation of space-temporary results. The digital cartography and the numerical results obtained can be considered a tool of great importance for spatial decision making in the definition of lineaments in territorial planning

    Dinámica de crecimiento urbano y pérdida de suelos productivos en el Gran Buenos Aires (Argentina), 1869-2011. Análisis espacial basado en sistemas de información geográfica

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    El Gran Buenos Aires (GBA) constituye un espacio geográfico que ha recibido particular atención como objeto de estudio. Como ciudad primada concentra 11.453.725 habitantes (INDEC, 2001), 31,6 % de la población total del país, en 3.830 km2 que representan el 0,14 % de su territorio nacional. El presente trabajo analiza la evolución espacial de la Aglomeración Gran Buenos Aires (AGBA), el proceso de expansión suburbana entre 1869 y 2011 (tomando las fechas correspondientes a los censos nacionales de población y una estimación de evolución hacia el último año). En el análisis se han distinguido diferentes periodos claramente asociados a características políticas, económicas y demográficas que han incidido en el proceso. La problemática territorial corresponde al cambio de uso del suelo de rural a urbano perdiéndose suelos de diferentes niveles de productividad según su capacidad para usos agropecuarios (asociado con las unidades cartográficas de suelo y los índices de productividad). El análisis se realiza a través de la tecnología de los Sistemas de Información Geográfica (SIG) de estructura raster como base para la aplicación de procedimientos de asociación espacial (modelado cartográfico) y evolución espacial (autómatas celulares) en la generación de resultados espacio-temporales. La cartografía digital y los resultados numéricos obtenidos pueden considerarse una herramienta de gran importancia para la toma de decisiones espaciales en la definición de lineamientos en planificación territorial.Great Buenos Aires (GBA) constitutes a geographical space that has received particular attention as study object. As a primate city of Argentina it concentrates 11.453.725 nhabitants (INDEC, 2001), 31,6 % of the total population of the country, on 3.830 km2 that represents 0,14 % of the national territory. The present work analyzes the spatial evolution of the Great Buenos Aires Agglomeration, the urban sprawl between 1869 and 2011 (taking the dates corresponding to the national population censuses and an estimation of evolution towards the last year). In the analysis different periods are distinguished clearly associated with political, economic and demographic characteristics that impact in the process. The territorial problematic orresponds to the land use change from rural to urban uses losing soils of different levels of productivity related to its use capacity for agricultural and cattle (associated with cartographic soil units and productivity index). The analysis is carried out with Geographical Information Systems (GIS) technology in raster structure for the application of procedures related to spatial association (cartographic modeling) and spatial evolution (cellular automata) in the generation of space-temporary results. The digital cartography and the numerical results obtained can be considered a tool of great importance for spatial decision making in the definition of lineaments in territorial planning

    Assessing hippocampal functional reserve in temporal lobe epilepsy:A multi-voxel pattern analysis of fMRI data

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    Assessing the functional reserve of key memory structures in the medial temporal lobes (MTL) of pre-surgical patients with intractable temporal lobe epilepsy (TLE) remains a challenge. Conventional functional MRI (fMRI) memory paradigms have yet to fully convince of their ability to confidently assess the risk of a post-surgical amnesia. An alternative fMRI analysis method, multi-voxel pattern analysis (MVPA), focuses on the patterns of activity across voxels in specific brain regions that are associated with individual memory traces. This method makes it possible to investigate whether the hippocampus and related structures contralateral to any proposed surgery are capable of laying down and representing specific memories. Here we used MVPA-fMRI to assess the functional integrity of the hippocampi and MTL in patients with long-standing medically refractory TLE associated with unilateral hippocampal sclerosis (HS). Patients were exposed to movie clips of everyday events prior to scanning, which they subsequently recalled during high-resolution fMRI. MTL structures were delineated and pattern classifiers were trained to learn the patterns of brain activity across voxels associated with each memory. Predictable patterns of activity across voxels associated with specific memories could be detected in MTL structures, including the hippocampus, on the side contralateral to the HS, indicating their functional viability. By contrast, no discernible memory representations were apparent in the sclerotic hippocampus, but adjacent MTL regions contained detectable information about the memories. These findings suggest that MVPA in fMRI memory studies of TLE can indicate hippocampal functional reserve and may be useful to predict the effects of hippocampal resection in individual patients

    Field emission properties of nano-composite carbon nitride films

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    A modified cathodic arc technique has been used to deposit carbon nitride thin films directly on n+ Si substrates. Transmission Electron Microscopy showed that clusters of fullerene-like nanoparticles are embedded in the deposited material. Field emission in vacuum from as-grown films starts at an electric field strength of 3.8 V/micron. When the films were etched in an HF:NH4F solution for ten minutes, the threshold field decreased to 2.6 V/micron. The role of the carbon nanoparticles in the field emission process and the influence of the chemical etching treatment are discussed.Comment: 22 pages, 8 figures, submitted to J. Vac. Sc. Techn.
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