A Lesk-inspired unsupervised algorithm for lexical choice from WordNet synsets
, 2014 La generazione di testo a partire da rappresentazioni astratte comporta, tra l'altro, la produzione di materiale lessi-cale per i concetti da generare. Usando WordNet come ontologia fondazionale, ne sfruttiamo la struttura interna per indi-viduare il lemmapì u adatto per un dato synset, senza ricorrere a dati annotati.
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Emotion norms for 6000 Polish word meanings with a direct mapping to the Polish wordnet. [PDF]
Behav Res Methods, 2022 Wierzba M +10 more
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Text Mining and Determinants of Sentiments towards the COVID-19 Vaccine Booster of Twitter Users in Malaysia. [PDF]
Healthcare (Basel), 2022 Ong SQ, Pauzi MBM, Gan KH.
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Verb Frequency and Density Drive Naming Performance in Primary Progressive Aphasia. [PDF]
Aphasiology, 2023 Stockbridge MD +4 more
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Extraction of use case diagram elements using natural language processing and network science. [PDF]
PLoS One, 2023 Imtiaz Malik M +2 more
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PageRanking WordNet Synsets: an application to opinion mining
, 2007 This paper presents an application of PageRank, a random-walk model originally devised for ranking Web search results, to ranking WordNet synsets in terms of how strongly they possess a given semantic property. The semantic properties we use for exemplifying the approach are positivity and negativity, two properties of central importance in sentiment ...
Esuli A, Sebastiani F
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Integrating contextual sentiment analysis in collaborative recommender systems. [PDF]
PLoS One, 2021 Osman NA +3 more
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Exploring techniques to distinguish between real images and those generated using stable diffusion XL. [PDF]
PLoS OneSanders B, Morrison D, Harris-Birtill D.
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Metabolic pathway inference using multi-label classification with rich pathway features. [PDF]
PLoS Comput Biol, 2020 M A Basher AR, McLaughlin RJ, Hallam SJ.
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