scholarly journals Analysis of Term Reuse, Term Overlap and Extracted Mappings Across AgroPortal Semantic Resources

Author(s):  
Amir Laadhar ◽  
Elcio Abrahão ◽  
Clement Jonquet
Keyword(s):  
2020 ◽  
Vol 16 (3) ◽  
pp. 419-438
Author(s):  
Ting Wu

AbstractThe development of new media enlarges the repertoire of semantic resources in creating a discourse. Apart from language, visual and sound symbols can all become semantic sources, and a synergy of different modality and symbols can be used to complete argumentative reasoning and evaluation. In the framework of multimodal argumentation and appraisal theory, this study conducted quantitative and multimodal discourse analysis on a new media discourse Building a community of shared future for humankind and found that visual symbols can independently fulfill both reasoning and evaluation in the argumentative discourse. An interplay of multiple modalities constructs a multi-layered semantic source, with verbal subtitles as a frame and a sound system designed to reinforce the theme and mood. In addition, visual modality is implicit in constructing the stance and evaluation of the discourse, with the verbal mode playing the role of “anchoring,” i.e. providing explicit explanation. A synergy of visual, acoustic, and verbal modalities could effectively transmit conceptual, interpersonal, and discursive meanings, but the persuasive result with the audience from different cultural backgrounds might be mixed.


Author(s):  
Georges Lebboss ◽  
Gilles Bernard ◽  
Noureddine Aliane ◽  
Adelle Abdallah ◽  
Mohammad Hajjar

Author(s):  
Thiago Lima ◽  
Sandra Collovini ◽  
Ana Leal ◽  
Evandro Fonseca ◽  
Xiaoxuan Han ◽  
...  

Author(s):  
Stefano Pacifico ◽  
Janez Starc ◽  
Janez Brank ◽  
Luka Bradesko ◽  
Marko Grobelnik

2021 ◽  
Vol 12 (1) ◽  
pp. 21
Author(s):  
Giovanni Vito Distefano

ABSTRACT: Le Grandi Parodie Disney dei classici della letteratura costituiscono un’originale e intensa impresa creativa, cominciata nel 1949 con L’Inferno di Topolino e ancora oggi portata avanti con successo dagli autori Disney italiani. L’articolo si concentra sui procedimenti adattivi alla base delle Parodie, privilegiando quelli che investono in prima battuta l’elemento narrativo del personaggio. Il close reading condotto sull’Inferno di Topolino, parodia antesignana e manifesto dell’intero corpus, permette di osservare come sul personaggio della parodia si giochi in larga misura il mix di intertestualità e serialità che, con una considerevole prevalenza della seconda sulla prima, caratterizza questi adattamenti. In conclusione, si mostra come le risorse espressive e semantiche del personaggio seriale non solo comportino l’immediata riconoscibilità della parodia, ma sostengano significative innovazioni di ordine tematico-ideologico rispetto all’opera dantesca e coraggiose prese di posizione sull’importanza del fumetto seriale nel sistema culturale contemporaneo.Parole chiave: Grandi Parodie Disney. personaggio seriale. Intertestualità. Divina Commedia. Topolino. Resumo: Le Grandi Parodie Disney dos clássicos da literatura constituem um trabalho criativo original e intenso, que começou em 1949 com o Inferno de Mickey e ainda hoje é apresentado com sucesso por autores italianos da Disney. O artigo enfoca os procedimentos adaptativos subjacentes às paródias, privilegiando aquelas que envolvem, principalmente, o elemento narrativo do personagem. A leitura atenta realizada em O Inferno de Mickey, precursor da paródia e presente em todo o corpus, permite-nos observar como a mistura de intertextualidade e serialidade desempenha, em grande medida, o caráter da paródia que, com uma prevalência considerável do segundo sobre o primeiro, caracteriza essas adaptações. Desse modo, observa-se como os recursos expressivos e semânticos do personagem serial não só levam ao reconhecimento imediato da paródia, mas também sustentam significativas inovações temático-ideológicas no que diz respeito à obra de Dante e às posturas corajosas sobre a importância dos quadrinhos seriados no sistema cultural contemporâneo.Palavras-chave: Grandi Parodie Disney. Personagem serial. Intertextualidade. Divina Commedia. Mickey Mouse. ABSTRACT: The Great Disney Parodies of the classics of literature are a major creative enterprise, begun in 1949 with L’Inferno di Topolino and still successfully carried out by Italian Disney authors today. The article investigates the adaptive procedures of the Parodies, with a special focus on those involving the pivotal narrative element of the character. From the close reading of L’Inferno di Topolino, the first parody to be written and a manifesto of the entire corpus, it is possible to observe how the mix of intertextuality and seriality which distinguishes these adaptations hinges largely on the expressive and semantic resources of Disney serial characters. In the conclusion, the main effects of the prevailing of seriality over intertextuality are discussed, showing how it makes for the immediate recognizability of the parody, supports significant thematic-ideological innovations with respect to Dante's work, and allows for courageous metaliterary assertion on the importance of serial comics in the contemporary cultural system.Keywords: Grandi Parodie Disney. Serial character. Intertextuality. Divine Comedy. Mickey Mouse.


2011 ◽  
Vol 2 (Suppl 5) ◽  
pp. I1 ◽  
Author(s):  
D Rebholz-Schuhmann ◽  
F Rinaldi ◽  
S Pyysalo ◽  
N Collier ◽  
U Hahn
Keyword(s):  

Author(s):  
Ling Luo ◽  
Xiang Ao ◽  
Yan Song ◽  
Jinyao Li ◽  
Xiaopeng Yang ◽  
...  

Aspect extraction relies on identifying aspects by discovering coherence among words, which is challenging when word meanings are diversified and processing on short texts. To enhance the performance on aspect extraction, leveraging lexical semantic resources is a possible solution to such challenge. In this paper, we present an unsupervised neural framework that leverages sememes to enhance lexical semantics. The overall framework is analogous to an autoenoder which reconstructs sentence representations and learns aspects by latent variables. Two models that form sentence representations are proposed by exploiting sememes via (1) a hierarchical attention; (2) a context-enhanced attention. Experiments on two real-world datasets demonstrate the validity and the effectiveness of our models, which significantly outperforms existing baselines.


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