52 research outputs found

    Linguistic Tests for Discourse Relations

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    Discourse structure and discourse relations are an important ingredient in systems for the analysis of text that go beyond the boundary of single clauses. Discourse relations often indicate important additional information about the connection between two clauses, such as causality, and are widely believed to have an influence on aspects of reference resolution.In this article, we first present the general design choices that are to be made in the design of an annotation scheme for discourse structure and discourse relations. In a second part, we present the scheme used in our annotation of selected articles from the TĂĽBa-D/Z treebank of German (Telljohann et al., 2009). The scheme used in the annotation is theory-neutral, but informed by more detailed linguistic knowledge in the way of linguistic tests that can help disambiguate between several plausible relations

    Explainable Argument Mining

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    Determinants and results of Corporate Social Responsibility as a stakeholder engagement tool

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    Dada la relevancia que han ido adquiriendo las actividades de Responsabilidad Social Corporativa (RSC) en el mundo empresarial, acentuadas en el año 2015 con la definición de los 17 Objetivos de Desarrollo Sostenible (ODS), se entiende la necesidad de estudiar la implicación y el efecto que tienen estas actividades en los stakeholders que lo rodean. Para ello, y con el objetivo de analizar los determinantes y resultados de la RSC como una herramienta de stakeholder engagement, se realiza un estudio en el que, además de conocer el estado de la literatura sobre el tema, se plantea el papel de la RSC como mecanismo para mejorar ciertas actitudes de los trabajadores, se estudian cómo las diferentes características idiosincráticas de los CEO pueden influir en el nivel de divulgación de los ODS y, finalmente, qué efecto tiene la RSC en el rendimiento empresarial

    SAMUDRA Report No.43, March 2006

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    Satellite Workshop On Language, Artificial Intelligence and Computer Science for Natural Language Processing Applications (LAICS-NLP): Discovery of Meaning from Text

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    This paper proposes a novel method to disambiguate important words from a collection of documents. The hypothesis that underlies this approach is that there is a minimal set of senses that are significant in characterizing a context. We extend Yarowsky’s one sense per discourse [13] further to a collection of related documents rather than a single document. We perform distributed clustering on a set of features representing each of the top ten categories of documents in the Reuters-21578 dataset. Groups of terms that have a similar term distributional pattern across documents were identified. WordNet-based similarity measurement was then computed for terms within each cluster. An aggregation of the associations in WordNet that was employed to ascertain term similarity within clusters has provided a means of identifying clusters’ root senses

    Carlos Bulosan and Filipino Collective Memory: Teaching, Transgression, and Transformation

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    Who is Carlos Bulosan? Why is he significant? Why teach Bulosan in our classrooms? These questions function as points of departure for this lecture delivered in Summer 2021 for the UNITAS International Lecture Series cosponsored by CLASS and Kritika Kultura. By reviewing the significance of Carlos Bulosan, this talk provides an opportunity to examine the continued relevance of Bulosan and his works for the twenty-first century. A pioneering Filipino writer of the twentieth century, Bulosan developed a unique transgressive aesthetic that travels across national and literary boundaries and, in the process, reimagines the boundaries of Filipino identity and literary categorization. Emphasis is placed on approaches to teaching Bulosan within the Asian American studies classroom at Bryant University. Within Bulosan’s literary imagination, transgression is inextricably interconnected with transformation
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