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• W2297180010 abstract "WELOTA is an automatic story generator which generates and narrates “Well Loved Tales” for kids between 5-7 years old. WELOTA implements a generic and a powerful approach to extract information from digital text files, represent that using a knowledge representation mechanism and later retrieve the knowledge to construct meaningful natural language sentences. Kid’s story domain is chosen to implement and prove this approach. Knowledge Extraction is handled through GATE NLP tool and WordNet 2.1. Extracted knowledge is then represented automatically in a domain specific ontology built in protege. Later the knowledge base is inferred on a selected story title using SPARQL query language. Then the retrieved knowledge is converted into simple English sentences through SimpleNLG API and a set of linguistic rules. WELOTA also embeds narrative terms and phrases to the story content which are constructed using its tacit knowledge." @default.
• W2297180010 created "2016-06-24" @default.
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• W2297180010 date "2014-12-01" @default.
• W2297180010 modified "2023-09-26" @default.
• W2297180010 title "An Ontology Based Natural Language Story Generation Approach: WELOTA" @default.
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• W2297180010 hasPublicationYear "2014" @default.
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