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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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Annoter et prédire des représentations linguistiques de phrases
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In: https://hal.archives-ouvertes.fr/tel-03544267 ; Informatique et langage [cs.CL]. Université de Paris, 2022 (2022)
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Tagged Corpus of Early English Correspondence Extension Sampler (TCEECES) ...
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Tagged Corpus of Early English Correspondence Extension Sampler (TCEECES) ...
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Creating and analyzing multilingual parliamentary corpora ; Creating and analyzing multilingual parliamentary corpora: Research Data Management Workflows Volume 1
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In: https://halshs.archives-ouvertes.fr/halshs-03366486 ; 2021 (2021)
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PDT-Vallex: Czech Valency lexicon linked to treebanks 4.0 (PDT-Vallex 4.0)
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Annotation Model: Criteria for Linguistic Categorization in the Database "Adjective-Adverb Interfaces in Romance" ...
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Annotation Model: Criteria for Linguistic Categorization in the Database "Adjective-Adverb Interfaces in Romance" ...
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An investigation of linguistic problems in automatic multi-document summaries / Uma investigação de problemas linguísticos em sumários automáticos multidocumento
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In: Revista de Estudos da Linguagem, Vol 29, Iss 2, Pp 859-907 (2021) (2021)
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Abstract:
Abstract: Automatic summaries commonly present diverse linguistic problems that affect textual quality and thus their understanding by users. Few studies have tried to characterize such problems and their relation with the performance of the summarization systems. In this paper, we investigated the problems in multi-document extracts (i.e., summaries produced by concatenating several sentences taken exactly as they appear in the source texts) generated by systems for Brazilian Portuguese that have different approaches (i.e., superficial and deep) and performances (i.e., baseline and state-of-the art methods). For that, we first reviewed the main characterization studies, resulting in a typology of linguistic problems more suitable for multi-document summarization. Then, we manually annotated a corpus of automatic multi-document extracts in Portuguese based on the typology, which showed that some of linguistic problems are significantly more recurrent than others. Thus, this corpus annotation may support research on linguistic problems detection and correction for summary improvement, allowing the production of automatic summaries that are not only informative (i.e., they convey the content of the source material), but also linguistically well structured. Keywords: automatic summarization; multi-document summary; linguistic problem; corpus annotation. Resumo: Sumários automáticos geralmente apresentam vários problemas linguísticos que afetam a sua qualidade textual e, consequentemente, sua compreensão pelos usuários. Alguns trabalhos caracterizam tais problemas e os relacionam ao desempenho dos sistemas de sumarização. Neste artigo, investigaram-se os problemas em extratos (isto é, sumários produzidos pela concatenação de sentenças extraídas na íntegra dos textos-fonte) multidocumento em Português do Brasil gerados por sistemas que apresentam diferentes abordagens (isto é, superficial e profunda) e desempenho (isto é, métodos baseline e do estado-da-arte). Para tanto, as principais caracterizações dos problemas linguísticos em sumários automáticos foram investigadas, resultando em uma tipologia mais adequada à sumarização multidocumento. Em seguida, anotou-se manualmente um corpus de extratos com base na tipologia, evidenciando que alguns tipos de problemas são significativamente mais recorrentes que outros. Assim, essa anotação gera subsídios para as tarefas automáticas de detecção e correção de problemas linguísticos com vistas à produção de sumários automáticos não só mais informativos (isto é, que cobrem o conteúdo do material de origem), como também linguisticamente bem-estruturados. Palavras-chave: sumarização automática; sumário multidocumento; problema linguístico; anotação de corpus.
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Keyword:
anotação de corpus; automatic summarization; corpus annotation; Language and Literature; linguistic problem; multi-document summary; P; P1-1091; Philology. Linguistics; problema linguístico; sumário multidocumento; sumarização automática
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URL: https://doaj.org/article/d388050ff761404f8226797ea0921862
https://doi.org/10.17851/2237-2083.29.2.859-907
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Standardizing linguistic data: method and tools for annotating (pre-orthographic) French ; Standardiser les données linguistiques: méthodes et outils pour l'annotation du français (pré-orthographique)
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In: Proceedings of the 2nd International Digital Tools & Uses Congress (DTUC '20) ; https://hal.archives-ouvertes.fr/hal-03018381 ; Proceedings of the 2nd International Digital Tools & Uses Congress (DTUC '20), Oct 2020, Hammamet, Tunisia. ⟨10.1145/3423603.3423996⟩ (2020)
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Разработка редактора диалогов для корпоративного ассистента ... : выпускная квалификационная работа бакалавра ...
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Хоменко, Анастасия. - : Санкт-Петербургский политехнический университет Петра Великого, 2020
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O projeto 'Edição Digital dos Vocabulários da Academia das Ciências' ; o VOLP-1940
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Standardizing linguistic data: method and tools for annotating(pre-orthographic) French ...
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Standardizing linguistic data: method and tools for annotating(pre-orthographic) French ...
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Annotation Model: Criteria for Linguistic Categorization in the Database "Adjective-Adverb Interfaces in Romance" ...
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Annotating a broad range of anaphoric phenomena, in a variety of genres: the ARRAU Corpus
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Ontologie des marques de domaines appliquée aux dictionnaires de langue générale
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It’s the end of the gold standard as we know it. On the impact of pre-aggregation on the evaluation of highly subjective tasks
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Basile V.. - : CEUR-WS, 2020. : country:ITA, 2020. : place:Torino, 2020
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