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A deixis ; DeixisA Proposal for XML Annotation within the Text ; uma proposta de anotação em XML no âmbito do texto
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Argument structure taxonomy based 269 verb picture corpus in Kannada ...
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Jeu des termes et chronodiversité. Examen polydiachronique de quelques termes de sémantique et de lexicologie ...
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A inteligência, seus usos e ocorrências nos projetos políticos pedagógicos
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In: A MARgem; Vol. 18 No. 2 (2021): v.18, jul-dez, 2021.; 107-124 ; A MARgem; Vol. 18 Núm. 2 (2021): v.18, jul-dez, 2021.; 107-124 ; A MARgem; V. 18 N. 2 (2021): v.18, jul-dez, 2021.; 107-124 ; A MARgem - Revista Eletrônica de Ciências Humanas, Letras e Artes; v. 18 n. 2 (2021): v.18, jul-dez, 2021.; 107-124 ; A MARgem; Vol. 18 N.º 2 (2021): v.18, jul-dez, 2021.; 107-124 ; 2175-2516 (2021)
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NECOS: An annotated corpus to identify constructive news comments in Spanish ; NECOS: Un corpus anotado para identificar comentarios constructivos de noticias en español
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Abstract:
In this paper, we present the NEws and COmments in Spanish (NECOS) corpus, a collection of Spanish comments posted in response to newspaper articles. Following a robust annotation scheme, three annotators labeled the comments as constructive and non-constructive. The articles were published in the newspaper El Mundo between April 3rd and April 30th, 2018. The corpus is composed of a total of 10 news articles and 1,419 comments. Three annotators manually labeled NECOS with an average Cohen's kappa of 78.97. Our current focus is the study of constructiveness and the evaluation of the Spanish NECOS corpus. In order to address this goal, we propose a benchmark testing different machine learning systems based on Natural Language Processing: a traditional system and the novel Transformer-based models. Specifically, we compare multilingual models with a monolingual model trained on Spanish in order to highlight the need to create resources trained on a specific language. The monolingual model fine-tuning on NECOS obtain the best result by achieving a macro-average F1 score of 77.24%. ; En este artículo presentamos un corpus de noticias y comentarios en español (NECOS). Estas noticias están publicadas en el periódico El Mundo en un período comprendido entre el 3 de abril y el 30 de abril de 2018. El corpus contiene un total de 10 noticias y 1.419 comentarios. Siguiendo un esquema de anotación, tres anotadores etiquetaron manualmente los comentarios como constructivos y no constructivos obteniendo un promedio de 78,97 usando el coeficiente de kappa de Cohen. En este estudio nos centramos en estudiar la constructividad y hacer la evaluación del corpus NECOS. Para abordar este objetivo, proponemos la experimentación con diferentes sistemas basados en Procesamiento del Lenguaje Natural usando aprendizaje automático: un clasificador tradicional y métodos recientes basados en Transformers. Concretamente, comparamos modelos multilingües con un modelo monolingüe entrenado para el español. Con ello, pretendemos demostrar la importancia de crear recursos entrenados para un idioma en particular. El modelo monolingüe evaluado en NECOS obtiene el mejor resultado alcanzando un 77,24% de macro-average F1. ; This work has been partially supported by a grant from European Regional Development Fund (ERDF), LIVING-LANG project [RTI2018-094653-B-C21], and the Ministry of Science, Innovation and Universities (scholarship [FPI-PRE2019-089310]) from the Spanish Government.
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Keyword:
Constructiveness; Constructividad; Corpora; Lenguajes y Sistemas Informáticos; Modelos basados en Transformer; Natural Language Processing; Procesamiento del Lenguage Natural; Transformer-based models
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URL: https://doi.org/10.26342/2021-66-3 http://hdl.handle.net/10045/114224
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Animacy and Intransitivity in Sentence Processing
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In: Theses and Dissertations (2021)
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EMPLOYING A PARALLEL CORPUS-BASED APPROACH IN TEACHING SEMANTIC PROSODY AND COLLOCATIONAL BEHAVIOR TO ARABIC EFL LEARNERS
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On some challenges posed by corpus-based research in the history of ideas
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Enrico Pasini. - : Accademia University Press, 2021. : country:ITA, 2021. : place:Torino, 2021
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Confini e sconfinamenti negli archivi testuali e nei vocabolari elettronici ...
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SSHOC Workshop: Sharing Datasets of Pathological Speech ...
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SSHOC Workshop: Sharing Datasets of Pathological Speech ...
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SSHOC Workshop: Sharing Datasets of Pathological Speech ...
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Fintan - Flexible, Integrated Transformation and Annotation eNgineering ...
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Fintan - Flexible, Integrated Transformation and Annotation eNgineering ...
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La détection automatique multilingue d’énoncés biaisés dans Wikipédia
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