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- W4380632045 abstract "Natural Language Generation has gained immense popularity in the field of Natural Language Processing. The use of deep learning algorithms for text generation has various applications across domains. One such application is the ability to synthesize poetry from a collection of poems written by a particular poet. In this paper, a stacked character-level LSTM model has been proposed to generate Shakespeare-style sonnets. The model is trained on the complete set of sonnets written by Shakespeare and is able to generate a new sonnet. To judge the novelty of the generated sonnet, the cosine similarity between a generated sonnet and each sonnet in the corpus has been computed. The qualitative validation of the sonnet has been done by manual methods. The sonnets are judged based on fluency, coherency, meaning and poeticness." @default.
- W4380632045 created "2023-06-15" @default.
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- W4380632045 date "2023-01-01" @default.
- W4380632045 modified "2023-09-28" @default.
- W4380632045 title "Stacked LSTM Model for Shakespeare Style Poem Generation" @default.
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- W4380632045 doi "https://doi.org/10.1007/978-981-99-0838-7_36" @default.
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