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Emotion on a textual level: the structuring function of emotions observed from annotations ; L'émotion à un niveau textuel : la fonction structurante des émotions observée à partir d'annotations
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In: ISSN: 1963-1723 ; Discours - Revue de linguistique, psycholinguistique et informatique ; https://hal.archives-ouvertes.fr/hal-03607564 ; Discours - Revue de linguistique, psycholinguistique et informatique, Laboratoire LATTICE, A paraître (2022)
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Auf den Spuren einer altnordischen Saga-Ästhetik - Poetologische Aussagen in den Erzählerbemerkungen der Isländersagas ...
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Auf den Spuren einer altnordischen Saga-Ästhetik - Poetologische Aussagen in den Erzählerbemerkungen der Isländersagas ...
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Quality and Efficiency of Manual Annotation: Data from the Pre-annotation Bias Experiment (part of the PDT-C 2.0 project)
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Addressing multilingualism in the GoTriple discovery platform ...
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Addressing multilingualism in the GoTriple discovery platform ...
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Specification for the Harmonization of Sign Language Annotations ...
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Specification for the Harmonization of Sign Language Annotations ...
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| 12 |
Transit Zones, Locales, and Locations: How Digital Annotations Affect Communication in Public Places
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In: Media and Communication ; 9 ; 3 ; 39-49 ; Spaces, Places, and Geographies of Public Spheres (2022)
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Towards an Online Database of Ancient Dramatic Meters
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In: FuturoClassico FCl; N. 7 (2021); 143-164 ; 2465-0951 (2022)
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A Methodology for the Automatic Annotation of Factuality in Spanish ; Una metodología para la anotación automática de la factualidad en español
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Abstract:
In the last decade, factuality has undeniably been an area of growing interest in Natural Language Processing. This paper describes a rule-based tool to automatically identify the factual status of events in Spanish text, understood with respect to the degree of commitment with which a narrator presents situations. Factuality is represented compositionally, considering the following semantic categories: commitment, polarity, event structure, and time. In contrast with neural machine learning approaches, this tool is entirely based on manually created lexico-syntactic rules that systematize semantic and syntactic patterns of factuality. Thus, it is able to provide explanations for automatic decisions, which are very valuable to guarantee accountability of the system. We evaluate the performance of the system by comparison with a manually annotated Gold Standard, obtaining results that are comparable, if not better, to machine learning approaches for a related task, the FACT 2019 challenge at the IBERLEF evaluation forum. ; La información factual es un área de investigación de creciente interés en el Procesamiento del Lenguaje Natural. Este artículo describe una herramienta basada en reglas para la identificación automática en español de la clase factual de los eventos en un texto, entendida con respecto al grado de compromiso con el que un narrador presenta las situaciones. En esta aproximación la información factual se representa compositivamente, considerando las siguientes categorías semánticas: compromiso, polaridad, estructura del evento y tiempo. A diferencia de los enfoques de Machine Learning, esta herramienta se basa por completo en reglas léxico-sintácticas y semánticas creadas manualmente que sistematizan los patrones semánticos y sintácticos de la información factual. Así, este sistema es capaz de proporcionar explicaciones para las decisiones automáticas, que son muy valiosas para garantía de la responsabilidad del sistema. Evaluamos el rendimiento del sistema mediante la comparación con un Gold Standard anotado manualmente, obteniendo resultados que son comparables, si no mejores, a los enfoques de aprendizaje automático para una tarea relacionada: el reto FACT 2019 del foro de evaluación IBERLEF.
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Keyword:
Anotación de eventos; Event annotation; Factualidad; Factuality; Lenguajes y Sistemas Informáticos; Lexico-syntactic patterns; Patrones léxico-sintácticos; Rule-based systems; Sistemas basados en reglas
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URL: https://doi.org/10.26342/2022-68-8
http://hdl.handle.net/10045/122848
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| 16 |
Universal Dependencies and Semantics for English and Hebrew Child-directed Speech
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In: Proceedings of the Society for Computation in Linguistics (2022)
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ANLIzing the Adversarial Natural Language Inference Dataset
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In: Proceedings of the Society for Computation in Linguistics (2022)
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Exploring the Relationship Between Different Smartphone Reading Annotation Strategies and Students’ Comprehension
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In: Boise State University Theses and Dissertations (2021)
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A clinical trials corpus annotated with UMLS entities to enhance the access to evidence-based medicine
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