313 research outputs found

    Using Synchronic and Diachronic Relations for Summarizing Multiple Documents Describing Evolving Events

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    In this paper we present a fresh look at the problem of summarizing evolving events from multiple sources. After a discussion concerning the nature of evolving events we introduce a distinction between linearly and non-linearly evolving events. We present then a general methodology for the automatic creation of summaries from evolving events. At its heart lie the notions of Synchronic and Diachronic cross-document Relations (SDRs), whose aim is the identification of similarities and differences between sources, from a synchronical and diachronical perspective. SDRs do not connect documents or textual elements found therein, but structures one might call messages. Applying this methodology will yield a set of messages and relations, SDRs, connecting them, that is a graph which we call grid. We will show how such a grid can be considered as the starting point of a Natural Language Generation System. The methodology is evaluated in two case-studies, one for linearly evolving events (descriptions of football matches) and another one for non-linearly evolving events (terrorist incidents involving hostages). In both cases we evaluate the results produced by our computational systems.Comment: 45 pages, 6 figures. To appear in the Journal of Intelligent Information System

    PLASTIC OF THE DEEP FEMORAL ARTERY ON THE OCCASION OF 47 OBSERVATIONS

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    Rethinking summarization and storytelling for modern social multimedia

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    Traditional summarization initiatives have been focused on specific types of documents such as articles, reviews, videos, image feeds, or tweets, a practice which may result in pigeonholing the summarization task in the context of modern, content-rich multimedia collections. Consequently, much of the research to date has revolved around mostly toy problems in narrow domains and working on single-source media types. We argue that summarization and story generation systems need to re-focus the problem space in order to meet the information needs in the age of user-generated content in different formats and languages. Here we create a framework for flexible multimedia storytelling. Narratives, stories, and summaries carry a set of challenges in big data and dynamic multi-source media that give rise to new research in spatial-temporal representation, viewpoint generation, and explanatio

    Creating language resources for under-resourced languages: methodologies, and experiments with Arabic

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    Language resources are important for those working on computational methods to analyse and study languages. These resources are needed to help advancing the research in fields such as natural language processing, machine learning, information retrieval and text analysis in general. We describe the creation of useful resources for languages that currently lack them, taking resources for Arabic summarisation as a case study. We illustrate three different paradigms for creating language resources, namely: (1) using crowdsourcing to produce a small resource rapidly and relatively cheaply; (2) translating an existing gold-standard dataset, which is relatively easy but potentially of lower quality; and (3) using manual effort with appropriately skilled human participants to create a resource that is more expensive but of high quality. The last of these was used as a test collection for TAC-2011. An evaluation of the resources is also presented

    DIABETIC ANGIOPATHY - SURGICAL PROBLEMS AND POSSIBILITIES

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    How healthcare systems are experienced by autistic adults in the United Kingdom: A meta-ethnography

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    Autistic adults are at increased risk of both mental and physical health difficulties, and yet can face barriers to accessing healthcare. A meta-ethnographic approach was used to conduct a review of the existing literature regarding autistic adults’ experiences of accessing healthcare. Four databases were systematically searched for qualitative and mixed-method studies reporting on the experiences of autistic adults without a co-occurring learning disability accessing adult healthcare services within the United Kingdom. Fifteen studies met the inclusion criteria, and seven steps were used to systematically extract the data and then generate novel themes. Three superordinate themes were identified: Professionals’ lack of knowledge can be damaging, Need to reduce processing demands and Adaptation to improve engagement. This review highlights the wide-reaching damaging impact misdiagnosis, inadequate or inappropriate treatment, overwhelming environments and inaccessible systems can have on the well-being and ability of autistic adults to engage with treatment. The lack of autism knowledge and understanding experienced in interactions with healthcare professionals, along with autistic adult’s own communication and sensory processing differences, demonstrates the need for widely delivered training co-produced with autistic adults alongside bespoke and person-centred adaptations

    A Systematic Design Approach in Building Digitalization Services Supporting Infrastructure

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    The creation of an efficient digital infrastructure is a prerequisite for the successful operation of any digital service with a high degree of complexity. In the best case, the organization of information processes should be based on the best practices in the construction of digital infrastructure, which allows the future development. With increasing the level of integration of digitalization with daily company activities, it is necessary to pay more attention to the problems of ensuring the continuity of digitalization processes. There are a lot of methods that have been developed to select the best of multiple options, each of which evaluated on the base of multiple criteria. In this research the usage of one of them is proposed as most suitable for taking decisions on building digital infrastructure for digitalization services. © 2020, Pavel Petrov et al. All rights reserved.This research was partially supported by NPI-45/2020 from the University of Economics - Varna Science Fund

    In vitro bioactivity of biphasic calcium phosphate silicate glassceramic in CaO-SiO2-P2O5 system

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    The main purpose of the paper is the evaluation of the influence of chemical composition of the gel of the synthesized 15CaO·0.5P2O5·6SiO2 glass-ceramic on the structure, crystallization behaviour and in vitro bioactivity in static conditions for different periods of time - 3, 9 and 30 days in 1.5SBF. The obtained glass-ceramic was synthesized via polystep sol-gel technique. The structure of the prepared and the one thermally treated at 1200°C for 2 h powder was studied by XRD, 29Si MAS NMR, FTIR and SEM
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