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Comic Spin: A Comic Creation Tool Enabling Self-Expression for People with Aphasia
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Modelling Group Dynamics with SYMLOG and Snowdrift for Intelligent Classroom Environment
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“Just Not Together”: The Experience of Videoconferencing for People with Aphasia during the Covid-19 Pandemic
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Syllable Neural Language Models for English Poem Generation
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Abstract:
Automatic Poem Generation is an ambitious Natural Language Generation (NLG) problem. Indeed, models have to replicate the precise structure of poems, rhymes, meters, while producing creative and emotional verses. Furthermore, the lack of abundant poetic corpora, especially for ancient poetry, is a serious limitation for the development of strong poem generators. In this paper, we propose a syllable neural language model to the case of English language, focusing on the generation of verses with the style of a target author: William Wordsworth. To alleviate the problem of limited available data, we exploit transfer learning. Furthermore, we bias the generation of verses according to a combination of different scoring functions based on meter, style and gram-mar in order to select lines more compliant with the author’s characteristics. The results of both quantitative and human evaluations shows the effectiveness of our approach. In particular, human judges struggle to recognize real verses from the generated ones.
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Keyword:
PE English; QA75 Electronic computers. Computer science
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URL: https://openaccess.city.ac.uk/id/eprint/26230/1/ICCC_2021.pdf https://openaccess.city.ac.uk/id/eprint/26230/
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8 |
A Framework for Quality Assessment of Semantic Annotations of Tabular Data
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Delivering group support for people with aphasia in a virtual world: experiences of service providers
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Anti-transfer learning for task invariance in convolutional neural networks for speech processing
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Comparing the environmental impacts of recipes from four different recipe databases using Natural Language Processing
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A World Full of Stereotypes? Further Investigation on Origin and Gender Bias in Multi-Lingual Word Embeddings ...
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Calculating the optimal step of arc-eager parsing for non-projective trees
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Few-shot linguistic grounding of visual attributes and relations using gaussian kernels
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Automated detection of Hainan gibbon calls for passive acoustic monitoring
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Exploring the characteristics of abusive behaviour in online social media settings
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Deep Scattering and End-to-End Speech Models towards Low Resource Speech Recognition
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Framework for Composition of Domain Specific Languages and the Effect of Composition on Re-use of Translation Rules
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Superstar to Superhuman: Scarlett Johansson, an ‘Ideal’ Embodiment of the Posthuman Female in Science Fiction and Media?
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Qualitative-geometric ‘surrounds’ relations between disjoint regions
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