886 resultados para lexical task


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Platelet-activating factor (PAF; 1-O-alkyl-2-acetyl-sn-glycero-3-phosphocholine), which is thought to be a retrograde messenger in long-term potentiation (LTP), enhances glutamate release and LTP through an action on presynaptic nerve endings. The PAF antagonist BN 52021 blocks CA1 LTP in hippocampal slices, and, when infused into rat dorsal hippocampus pre- or posttraining, blocks retention of inhibitory avoidance. Here we report that memory is affected by pre- or posttraining infusion of the PAF analog 1-O-hexadecyl-2-N-methylcarbamoyl-sn-glycerol-3-phosphocholine (mc-PAF) into either rat dorsal hippocampus, amygdala, or entorhinal cortex. Male Wistar rats were implanted bilaterally with cannulae in these brain regions. After recovery from surgery, the animals were trained in step-down inhibitory avoidance or in a spatial habituation task and tested for retention 24 h later. mc-PAF (1.0 microgram per side) enhanced retention test performance of the two tasks when infused into the hippocampus before training without altering training session performance. In addition, mc-PAF enhanced retention test performance of the avoidance task when infused into (i) the hippocampus 0 but not 60 min after training; (ii) the amygdala immediately after training; and (iii) the entorhinal cortex 100 but not 0 or 300 min after training. In confirmation of previous findings, BN 52021 (0.5 microgram per side) was found to be amnestic for the avoidance task when infused into the hippocampus or the amygdala immediately but not 30 or more minutes after training or into the entorhinal cortex 100 but not 0 or 300 min after training. These findings support the hypothesis that memory involves PAF-regulated events, possibly LTP, generated at the time of training in hippocampus and amygdala and 100 min later in the entorhinal cortex.

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O nheengatu, ou língua geral amazônica, foi veiculado nos séculos passados em vasto território, servindo como língua franca ao longo de muitos rios da Bacia Amazônica. O idio-ma da família tupi-guarani foi gradualmente superado e substituído pelo português como lín-gua de comunicação supraétnica na região, mas continua sendo falado em algumas localida-des, sobretudo na sub-bacia do Rio Negro, onde, desde 2002, tem status de idioma co-oficial no município de São Gabriel da Cachoeira, no Estado do Amazonas. O estudo aqui apresenta-do consiste na tradução do livro infantil A terra dos meninos pelados, de Graciliano Ramos, do português para o nheengatu, bem como nas pesquisas e conjecturas que fundamentaram as escolhas tradutórias. Este trabalho, que se enquadra no conceito de traduzir com o objetivo de fortalecer a língua/cultura-alvo, foi concebido como um potencial auxílio no desenvolvimento de uma literatura escrita em nheengatu, já que isso pode ser fundamental para a sobrevivência deste idioma ao longo das décadas vindouras. Por um lado, a tradução para uma língua de tradição oral, sem grafia unificada ou gramática normativa, impõe dificuldades à tarefa do tradutor e exige um concomitante estudo linguístico atencioso. Os importantes registros da língua feitos ao longo dos séculos passados, por outro lado, quando confrontados com as vari-antes atualmente veiculadas no Rio Negro, possibilitaram uma pesquisa lexical que teve papel fundamental nas escolhas tradutórias.

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Esta tese, com o intuito de contribuir para uma reflexão em torno da história da formação da língua portuguesa no Brasil, propõe como objetivo geral realizar um estudo do léxico no município de Cáceres-MT, tendo como base a discussão sobre manutenção, tendência à manutenção, desuso, tendência ao desuso e neologismo semântico de unidades lexicais extraídas de um manuscrito oitocentista. Os objetivos específicos são os seguintes: (i) compreender a história social da Capitania de Mato Grosso e do município de Cáceres, a partir das informações constantes no manuscrito Memoria, e aspectos que envolvam as condições de produção do documento e a biografia do autor; (ii) levantar o léxico do manuscrito, com recorte nos substantivos e adjetivos para servir de base na seleção das unidades lexicais a serem testadas in loco, e investigar a acepção registrada no documento das unidades lexicais, caracterizando, assim, o léxico do período oitocentista; (iii), fazer um cotejo lexicográfico abrangendo dicionários gerais dos séculos XVIII ao XXI; (iv) testar e identificar, a partir do corpus oral constituído por meio de pesquisa de campo na região urbana cacerense, o grau de manutenção, tendência à manutenção, desuso, tendência ao desuso e neologismo semântico em relação às unidades lexicais e suas respectivas acepções registradas no manuscrito. Dessa forma, toma-se como corpus de língua escrita de análise o manuscrito oitocentista Memoria sobre o plano de guerra offensiva e deffensiva da Capitania de Matto Grosso e, a partir das unidades lexicais selecionadas e extraídas dele, realizou-se a pesquisa de campo para o recolhimento do corpus de língua oral. Antes dessa recolha, tendo como base teórico-metodológica as disciplinas de Dialetologia e de Geolinguística, selecionou-se a localidade (município de Cáceres - MT) e os informantes (total de dezesseis); elaborou-se o questionário semântico-lexical, considerando fundamentalmente a proposta apresentada pelo Comitê Nacional do Projeto ALiB (2001); e realizou-se a pesquisa de campo e as transcrições das entrevistas. Para análise de natureza semântico-lexical dos corpora, recorreu aos estudos lexicográficos e lexicológicos. Tomando por base os resultados do estudo realizado, constatou-se que na realidade linguística do informante cacerense encontram-se unidades que já integravam o léxico oitocentista da língua portuguesa escrita no Brasil, ou seja, há uma memória semântico-lexical que se mantém no sistema lexical, provavelmente, devido às condições sócioculturais do município de Cáceres, Mato Grosso, cuja população, em grande parte, por quase duzentos anos, viveu na área rural. Todavia, vislumbrou-se um certo equilíbrio entre a manutenção do léxico oitocentista sem deixar de lado a inovação e o mecanismo polissêmico constitutivo do léxico.

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The current study tested two competing models of Attention-Deficit/Hyperactivity Disorder (AD/HD), the inhibition and state regulation theories, by conducting fine-grained analyses of the Stop-Signal Task and another putative measure of behavioral inhibition, the Gordon Continuous Performance Test (G-CPT), in a large sample of children and adolescents. The inhibition theory posits that performance on these tasks reflects increased difficulties for AD/HD participants to inhibit prepotent responses. The model predicts that putative stop-signal reaction time (SSRT) group differences on the Stop-Signal Task will be primarily related to AD/HD participants requiring more warning than control participants to inhibit to the stop-signal and emphasizes the relative importance of commission errors, particularly "impulsive" type commissions, over other error types on the G-CPT. The state regulation theory, on the other hand, proposes response variability due to difficulties maintaining an optimal state of arousal as the primary deficit in AD/HD. This model predicts that SSRT differences will be more attributable to slower and/or more variable reaction time (RT) in the AD/HD group, as opposed to reflecting inhibitory deficits. State regulation assumptions also emphasize the relative importance of omission errors and "slow processing" type commissions over other error types on the G-CPT. Overall, results of Stop-Signal Task analyses were more supportive of state regulation predictions and showed that greater response variability (i.e., SDRT) in the AD/HD group was not reducible to slow mean reaction time (MRT) and that response variability made a larger contribution to increased SSRT in the AD/HD group than inhibitory processes. Examined further, ex-Gaussian analyses of Stop-Signal Task go-trial RT distributions revealed that increased variability in the AD/HD group was not due solely to a few excessively long RTs in the tail of the AD/HD distribution (i.e., tau), but rather indicated the importance of response variability throughout AD/HD group performance on the Stop-Signal Task, as well as the notable sensitivity of ex-Gaussian analyses to variability in data screening procedures. Results of G-CPT analyses indicated some support for the inhibition model, although error type analyses failed to further differentiate the theories. Finally, inclusion of primary variables of interest in exploratory factor analysis with other neurocognitive predictors of AD/HD indicated response variability as a separable construct and further supported its role in Stop-Signal Task performance. Response variability did not, however, make a unique contribution to the prediction of AD/HD symptoms beyond measures of motor processing speed in multiple deficit regression analyses. Results have implications for the interpretation of the processes reflected in widely-used variables in the AD/HD literature, as well as for the theoretical understanding of AD/HD.

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This short essay – taken from a keynote address given at the University of Denver’s Marijuana at the Crossroads Conference – describes the dynamics of marijuana law and policy in the United States with a particular eye toward the federalism implications of marijuana legalization in the states. The essay discusses the history of marijuana regulation in the United States, sets forth a number of possible scenarios going forward, and makes a few, tentative predictions about the future.

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Preliminary research demonstrated the EmotiBlog annotated corpus relevance as a Machine Learning resource to detect subjective data. In this paper we compare EmotiBlog with the JRC Quotes corpus in order to check the robustness of its annotation. We concentrate on its coarse-grained labels and carry out a deep Machine Learning experimentation also with the inclusion of lexical resources. The results obtained show a similarity with the ones obtained with the JRC Quotes corpus demonstrating the EmotiBlog validity as a resource for the SA task.

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EmotiBlog is a corpus labelled with the homonymous annotation schema designed for detecting subjectivity in the new textual genres. Preliminary research demonstrated its relevance as a Machine Learning resource to detect opinionated data. In this paper we compare EmotiBlog with the JRC corpus in order to check the EmotiBlog robustness of annotation. For this research we concentrate on its coarse-grained labels. We carry out a deep ML experimentation also with the inclusion of lexical resources. The results obtained show a similarity with the ones obtained with the JRC demonstrating the EmotiBlog validity as a resource for the SA task.

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Automatic Text Summarization has been shown to be useful for Natural Language Processing tasks such as Question Answering or Text Classification and other related fields of computer science such as Information Retrieval. Since Geographical Information Retrieval can be considered as an extension of the Information Retrieval field, the generation of summaries could be integrated into these systems by acting as an intermediate stage, with the purpose of reducing the document length. In this manner, the access time for information searching will be improved, while at the same time relevant documents will be also retrieved. Therefore, in this paper we propose the generation of two types of summaries (generic and geographical) applying several compression rates in order to evaluate their effectiveness in the Geographical Information Retrieval task. The evaluation has been carried out using GeoCLEF as evaluation framework and following an Information Retrieval perspective without considering the geo-reranking phase commonly used in these systems. Although single-document summarization has not performed well in general, the slight improvements obtained for some types of the proposed summaries, particularly for those based on geographical information, made us believe that the integration of Text Summarization with Geographical Information Retrieval may be beneficial, and consequently, the experimental set-up developed in this research work serves as a basis for further investigations in this field.

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This paper addresses the problem of the automatic recognition and classification of temporal expressions and events in human language. Efficacy in these tasks is crucial if the broader task of temporal information processing is to be successfully performed. We analyze whether the application of semantic knowledge to these tasks improves the performance of current approaches. We therefore present and evaluate a data-driven approach as part of a system: TIPSem. Our approach uses lexical semantics and semantic roles as additional information to extend classical approaches which are principally based on morphosyntax. The results obtained for English show that semantic knowledge aids in temporal expression and event recognition, achieving an error reduction of 59% and 21%, while in classification the contribution is limited. From the analysis of the results it may be concluded that the application of semantic knowledge leads to more general models and aids in the recognition of temporal entities that are ambiguous at shallower language analysis levels. We also discovered that lexical semantics and semantic roles have complementary advantages, and that it is useful to combine them. Finally, we carried out the same analysis for Spanish. The results obtained show comparable advantages. This supports the hypothesis that applying the proposed semantic knowledge may be useful for different languages.

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One of the most important factors of recognition, belonging and identification in scientific communities is their specialized language: doctors, mathematicians and anthropologists feel they are part of a group with which they can interact because they share a common “language”. While ideology is present in all academic registers, it is in human sciences where its presence (or absence) leads to more visible linguistic phenomena. An interesting example is that of lesbian studies: as non-heterosexual members of society have become less stigmatized, lesbian studies have developed a language of their own. In our paper, we shall explore the mechanisms used in the creation of specific vocabulary in this academic area, paying special attention to the refashioning or deconstruction of meaning of established terms as a result of changes in social perception or the challenging of pre-determined meanings.

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This report sheds light on the fundamental questions and underlying tensions between current policy objectives, compliance strategies and global trends in online personal data processing, assessing the existing and future framework in terms of effective regulation and public policy. Based on the discussions among the members of the CEPS Digital Forum and independent research carried out by the rapporteurs, policy conclusions are derived with the aim of making EU data protection policy more fit for purpose in today’s online technological context. This report constructively engages with the EU data protection framework, but does not provide a textual analysis of the EU data protection reform proposal as such.

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A new CEPS Task Force Report has identified possible pathways for achieving the EU’s ambitious climate change targets. It concludes that a GHG emissions reduction in line with EU climate change policy is possible, but it requires immediate action. This report argues that most of the reductions required of the transport sector in the EU could come from more energy-efficient vehicles, combined with the gradual introduction of low-carbon fuels and new engine technologies. The key policy for reducing GHG emissions in road transport is the steady tightening of emissions standards in line with technological progress. The report also identifies strategies for the transport system to become more energy and/or carbon efficient, arguing that leverage can be further enhanced by local and city governments’ incentives for efficient and low-carbon vehicles in line with local circumstances and choices. The Task Force on Low Carbon Transport brought together a diverse set of stakeholders from the car and oil industries, business associations, international organisations, member states, academic experts and NGOs. This authoritative report is the result of that unique collaboration.