39 research outputs found

    A Hybrid Approach for Aspect-Based Sentiment Analysis Using Deep Contextual Word Embeddings and Hierarchical Attention

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    The Web has become the main platform where people express their opinions about entities of interest and their associated aspects. Aspect-Based Sentiment Analysis (ABSA) aims to automatically compute the sentiment towards these aspects from opinionated text. In this paper we extend the state-of-the-art Hybrid Approach for Aspect-Based Sentiment Analysis (HAABSA) method in two directions. First we replace the non-contextual word embeddings with deep contextual word embeddings in order to better cope with the word semantics in a given text. Second, we use hierarchical attention by adding an extra attention layer to the HAABSA high-level representations in order to increase the method flexibility in modeling the input data. Using two standard datasets (SemEval 2015 and SemEval 2016) we show that the proposed extensions improve the accuracy of the built model for ABSA.Comment: Accepted for publication in the 20th International Conference on Web Engineering (ICWE 2020), Helsinki Finland, 9-12 June 202

    Metabolic Versatility and Antibacterial Metabolite Biosynthesis Are Distinguishing Genomic Features of the Fire Blight Antagonist Pantoea vagans C9-1

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    Smits THM, Rezzonico F, Kamber T, et al. Metabolic Versatility and Antibacterial Metabolite Biosynthesis Are Distinguishing Genomic Features of the Fire Blight Antagonist Pantoea vagans C9-1. PLoS ONE. 2011;6(7): e22247.Background: Pantoea vagans is a commercialized biological control agent used against the pome fruit bacterial disease fire blight, caused by Erwinia amylovora. Compared to other biocontrol agents, relatively little is currently known regarding Pantoea genetics. Better understanding of antagonist mechanisms of action and ecological fitness is critical to improving efficacy. Principal Findings: Genome analysis indicated two major factors contribute to biocontrol activity: competition for limiting substrates and antibacterial metabolite production. Pathways for utilization of a broad diversity of sugars and acquisition of iron were identified. Metabolism of sorbitol by P. vagans C9-1 may be a major metabolic feature in biocontrol of fire blight. Biosynthetic genes for the antibacterial peptide pantocin A were found on a chromosomal 28-kb genomic island, and for dapdiamide E on the plasmid pPag2. There was no evidence of potential virulence factors that could enable an animal or phytopathogenic lifestyle and no indication of any genetic-based biosafety risk in the antagonist. Conclusions: Identifying key determinants contributing to disease suppression allows the development of procedures to follow their expression in planta and the genome sequence contributes to rationale risk assessment regarding the use of the biocontrol strain in agricultural systems

    Characterization of a hydroxyproline-rich glycoprotein in pearl millet and its differential expression in response to the downy mildew pathogen Sclerospora graminicola

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    A monoclonal antibody, JIM 20, derived against an extensin type of hydroxyproline-rich glycoprotein (HRGP) from pea, showed high affinity for HRGP in pearl millet [Pennisetum glaucum (L.) R. Br.]. Electrophoretic separation of Tris–SDS extracted proteins from suspension cells of pearl millet revealed a range of PM-HRGP polypeptides having a glycan epitope, which reacted with JIM 20. A high molecular mass band, probably an HRGP aggregate or polymer, and a few low molecular mass polypeptides were recognized by JIM 20 during Western blot analysis. Treatment of pearl millet suspension cells with hydrogen peroxide in the presence of an endogenous peroxidase resulted in insolubilization of HRGP polypeptides with molecular weights between 45 and 33 kDa. To investigate the gene coding for an extensin type of HRGP, a fosmid-based genomic library of pearl millet having a fourfold genome coverage was constructed. A partial sequence of 378 bp of an HRGP gene was obtained by PCR amplification of pearl millet DNA with a primer pair designed from the conserved regions of monocotyledon extensin type of HRGPs. Screening the genomic library using the homologous probe developed from the 378-bp PCR product resulted in the isolation of five fosmid clones. Restriction mapping of these fosmids resulted in an 11.8-kb region around an HRGP gene in pearl millet. The newly characterized gene, PM-HRGP, had all the characteristic features of a monocotyledon extensin type of HRGP. An intron at the 30 untranslated region of the gene was identified by cDNA cloning. Differential expression of the PM-HRGP gene was observed during compatible and incompatible interactions of pearl millet with the downy mildew pathogen Sclerospora graminicola (Sacc) Schroet. Induced expression of the gene was observed only in case of an incompatible interaction.

    Country report INDONESIA - MFS II EVALUATIONS

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    This report on Indonesia is one of a series of evaluation reports, consisting of ten reports in total, reflecting the results of the jointly-organised MFS II evaluation: - eight country reports (India, Bangladesh, Ethiopia, Uganda, Indonesia, DR Congo, Liberia, Pakistan); - a synthesis report (covering the eight country studies); and - a report with the results of the international lobbying and advocacy programmes. This series of reports assessed the 2011-2015 contribution of the Dutch Co-Financing System (MFS II) towards achieving the Millennium Development Goals, strengthening international civil society, setting the international agenda and changing decision-makers’ policy and practice, with the ultimate goal of reducing structural poverty. On July 2nd, 2015, the reports were approved by the independent steering committee (see below), which concluded that they meet the quality standards of validity, reliability and usefulness set by the Ministry of Foreign Affairs
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