1,043 research outputs found

    End-to-end Neural Coreference Resolution

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    We introduce the first end-to-end coreference resolution model and show that it significantly outperforms all previous work without using a syntactic parser or hand-engineered mention detector. The key idea is to directly consider all spans in a document as potential mentions and learn distributions over possible antecedents for each. The model computes span embeddings that combine context-dependent boundary representations with a head-finding attention mechanism. It is trained to maximize the marginal likelihood of gold antecedent spans from coreference clusters and is factored to enable aggressive pruning of potential mentions. Experiments demonstrate state-of-the-art performance, with a gain of 1.5 F1 on the OntoNotes benchmark and by 3.1 F1 using a 5-model ensemble, despite the fact that this is the first approach to be successfully trained with no external resources.Comment: Accepted to EMNLP 201

    Social cognition in early schizophrenia: exploratory factor analysis and subcortical biomarkers

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    BACKGROUND: One of the central determinants of functional outcome in schizophrenia is social cognition (SC). With the wide array of SC domains, factor-analysis provides a powerful tool to identify commonalities amongst their underlying dysfunctions and its neural underpinnings. METHODS: The present study performed exploratory factor analysis (EFA) on 93 patients with early course schizophrenia using eight validated SC subtests. Factors derived from this analysis were then used to investigate their relationships with neurocognitive performance, clinical symptoms, and functional outcome. Moreover, subsequent shape analysis of the amygdala and hippocampus was performed using the MAGeT Brain pipeline to investigate their relationship to the composite scores of SC factors. RESULTS: EFA revealed a 3-factor solution, representing the domains of emotion management, emotion recognition, and theory of mind-social contextual appraisal, together accounting for 63.58% of the variance. Interestingly, only the theory of mind-social context appraisal factor correlated with measures of functional outcome. Addition analysis revealed that higher score on the theory of mind factor is significantly related with higher functional outcome measures and verbal learning performance, as well as with lower negative symptoms. Both emotion management and emotion perception factors indicated significant positive correlations with attention-vigilance while only emotion perception significantly correlated with visual learning and memory. Outward convexity of the right amygdala was identified to be positively correlated with the theory of mind-social context appraisal factor (p<0.05, FDR corrected), while the left and right hippocampus, specifically greater surface area of the dorsal-medial and ventral-lateral aspect of the hippocampus respectively, were positively correlated with higher composite score on theory of mind factor (p<0.05, FDR corrected). CONCLUSION: Our EFA indicates overlap amongst SC subtests which represent three different SC subdomains. Furthermore, shape analysis reveals that displacement and surface area of the amygdala and hippocampus respectively play a role in theory of mind. In the future, the SC factors that we identified, along with their neural correlates, could provide essential diagnostic tools to assess SC functioning in early schizophrenia patients, as well as identify strategies for potential improvement following cognitive remediation therapy

    Child poverty in the UK since 1998-99: lessons from the past decade

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    As a result of the Child Poverty Act (2010), current and future governments are committed to reducing the rate of relative income child poverty in the UK to 10% by 2020-21. This paper looks in detail at the progress made towards this goal under the previous Labour administrations. Direct tax and benefit reforms are very important in explaining at least three things: the large overall reduction in child poverty since 1998-99; the striking slowdown in progress towards the child poverty targets between 2004-05 and 2007-08; and some of the variation in child poverty trends between different groups of children. However, some of the child poverty-reducing impact of those reforms acted simply to stop child poverty rising as real earnings grew over the period, which increases median income and thus the relative poverty line. The performance of parents in the labour market is important too: between regions, parental employment and child poverty trends are closely related; the overall reduction in child poverty since 1998-99 has been helped by higher lone parent employment rates; and the overall rise in child poverty since 2004-05 has been most concentrated on children of one-earner couples, whose real earnings have fallen.

    Tests of sunspot number sequences: 4. Discontinuities around 1946 in various sunspot number and sunspot group number reconstructions

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    We use five test data series to search for, and quantify, putative discontinuities around 1946 in five different annual-mean sunspot-number or sunspot-group number data sequences. The data series tested are: the original and new versions of the Wolf/Zurich/International sunspot number composite [RISNv1 and RISNv2] (respectively Clette et al., Adv. Space Res., 40, 919, 2007 and Clette et al., in “The Solar Activity Cycle”, 35, Springer, 2015); the corrected version of RISNv1 proposed by Lockwood, Owens, and Barnard (J. Geophys. Res. Space Physics, 119, 5193, 2014a) [RC]; the new “backbone” group number composite proposed by Svalgaard and Schatten (Solar Physics, 2016) [RBB]; and the new group-number composite derived by Usoskin et al. (Solar Physics, 2016) [RUEA]. The test data series used are: the group number [NG] and total sunspot area [AG] from the Royal Observatory, Greenwich / Royal Greenwich Observatory (RGO) photoheliographic data; the Ca K index from the recent re-analysis of Mount Wilson Observatory (MWO) spectroheliograms in the Calcium II K ion line; the sunspot-group number from the MWO sunspot drawings [NMWO]; and the dayside ionospheric F2-region critical frequencies measured by the Slough ionosonde [foF2]. These test data all vary in close association with sunspot numbers, in some cases non-linearly. The tests are carried out using both the “before-and-after” fit-residual comparison method and the correlation method of Lockwood, Owens, and Barnard, applied to annual mean data for intervals iterated to minimise errors and to eliminate uncertainties associated with the precise date of the putative discontinuity. It is not assumed that the correction required is by a constant factor, nor even linear in sunspot number. It is shown that a non-linear correction is required by RC, RBB, and RISNv1, but not by RISNv2 or RUEA. The five test datasets give very similar results in all cases. By multiplying the probability distribution functions together we obtain the optimum correction for each sunspot dataset that must be applied to pre-discontinuity data to make them consistent with the post-discontinuity data. It is shown that, on average, values for 1932 - 1943 are too small (relative to later values) by about 12.3 % for RISNv1 but are too large for RISNv2 and RBB by 3.8 % and 5.2 %, respectively. The correction that was applied to generate RC from RISNv1 reduces this average factor to 0.5 % but does not remove the non-linear variation with the test data, and other errors remain uncorrected. A valuable test of the procedures used is provided by RUEA, which is identical to the RGO NG values over the interval employed

    Functional Benefits of Hard Martial Arts for Older Adults: A Scoping Review

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    International Journal of Exercise Science 15(3): 1430-1443, 2022. The present scoping review focused upon the functional benefits of hard martial arts training for older adults. The AXIS Critical Appraisal Tool was used to appraise all studies included in the review. A systematic literature search identified 265 papers via electronic database and ten papers from additional sources. Of these, six studies featuring 240 participants were included in the final scoping review. Of the included studies, three were randomized control trials and three were comparative studies with concurrent controls. The available studies outlined improvements in functional fitness parameters for older adults participating in hard martial arts training (strength 9.3–34%; mobility 9.5–13.6%; aerobic endurance 13.4%; flexibility 11.1–316.7%; balance 20.5%). However, inconsistencies in training stimulus and a limited number of studies highlight the need for further research before hard martial arts can be recommended for older adults. Based upon the limited available literature, to improve functional fitness, hard martial arts training should be conducted for 60 to 90 minutes, at least twice a week for a minimum of eleven weeks

    The Unaware, Accurate, and Overly Critical: Video Technology Use of Improving Public Speaking Competency

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    Students often hold overly favorable views of their public speaking skills. In this study, students set goals prior to speaking, and then assess the presentation via video replay. Although some basic courses use video, the technology is not standard practice nor consistently utilized to aid student skill development for speechmaking. Differences between students’ self-estimated and earned grades students were categorized into five estimator groupings. Study 1 (N = 102) results indicated video self-evaluation positively influenced student ability for predictive goal-setting, improved accuracy for assessing speech quality, and diminished overestimation from the informative to persuasive speech. To further explore the findings and address the limitations of Study 1, a second study was conducted. Study 2 (N = 622) results supported Study 1 findings. We discussed how video technology use, as a pedagogical tool, enhances public speaking competency for students in the basic course

    Physiological demands of fencing:A Narrative review

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    Background and AimFencers compete over long competition days (9-11 hours) wearing full body protective clothing whilst performing high-intensity explosive movements interspersed with low intensity preparatory or recovery movements. Therfore the aim of this review is to provide contemporary perspectives of the literature discussing the physiological and thermoregulatory demands of fencing to inform training, competition, and recovery practices.MethodsResearch articles were searched through three online databases (Pubmed, SPORTDiscus, and Google Scholar; 1985-2022) and included results discussing physiological demands for all three weapons (epĂ©e, foil, and sabre).ResultsThe physiological demands of fencing performance are high and increase as fencers move from Poule fights to knockout Direct Elimination fights. Fencers compete at 75-100% of maximum heart rate, and ~75% maximal oxygen consumption in Direct Elimination fights. Fencing performance is reliant on the phosphocreatine and aerobic energy systems as shown through low blood lactate concentrations. Considerable variation in distance covered during competition is generally reported (i.e., 435 to 1652m in Direct Elimination fights). Despite fencers competing in full body protective clothing with a potentially large thermoregulatory challenge only one study has examined thermoregulatory responses during fencing whereby fencers’ gastrointestinal temperature can peak at &gt;39°C.ConclusionsFuture research highlighted by the findings of this review includes studies of all weapon types especially foil and sabre, during actual competitive environments.Thermoregulatory responses of fencing need to be determined including measures of skin temperature, mask temperature (as a measure of micro-climates) and thermal sensation, allowing for appropriate cooling strategies to be applied between fights to maintain or improve performance.Practical ApplicationsA greater understanding of the physiological demands of fencing performance will allow athletes, coaches, and practitioners to design training to prepare athletes for competition and allow fencing specific protocols to be developed to determine recovery strategies within fencing

    MetaICL: Learning to Learn In Context

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    We introduce MetaICL (Meta-training for In-Context Learning), a new meta-training framework for few-shot learning where a pretrained language model is tuned to do in-context learning on a large set of training tasks. This meta-training enables the model to more effectively learn a new task in context at test time, by simply conditioning on a few training examples with no parameter updates or task-specific templates. We experiment on a large, diverse collection of tasks consisting of 142 NLP datasets including classification, question answering, natural language inference, paraphrase detection and more, across seven different meta-training/target splits. MetaICL outperforms a range of baselines including in-context learning without meta-training and multi-task learning followed by zero-shot transfer. We find that the gains are particularly significant for target tasks that have domain shifts from the meta-training tasks, and that using a diverse set of the meta-training tasks is key to improvements. We also show that MetaICL approaches (and sometimes beats) the performance of models fully finetuned on the target task, and outperforms much bigger models with nearly 8x parameters. Finally, we show that MetaICL is complementary to human-written instructions, and the best performance can be achieved by combining both approaches.Comment: 19 pages, 2 figures. Published as a conference paper at NAACL 2022 (long). Code available at https://github.com/facebookresearch/MetaIC
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