: Vocabulario de PLN: joint neural network model

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joint neural network model

Lau et al. (2018) present a joint neural network model for the generation of sonnets called Deep-speare that incorporates the training of rhyme and rhythm into the neural network; the network learns iambic stress patterns from data while rhyming word pairs are separated from non-rhyming ones using a marginbased loss. (Van de Cruys, 2020)
Thus a joint neural network model should be a nice solution to extractive query-focused summarization. (Cao, Li, Li, Wei & Li, 2016)
We have presented a joint neural network model for structure-based news genre identification that predicts both the news structure type for a document and a sequence of news element tags for its paragraphs. (Dai & Huang, 2021)
We propose a joint neural network model to learn query relevance ranking and sentence saliency ranking simultaneously. (Cao, Li, Li, Wei & Li, 2016)

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