wikipedia-articles
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The main problem of conditional text generation is that it is mainly based on the content of an input set of examples: this leads to little diversification of the generated text. To overcome this shortcoming, we have fine tuned CTRL using three different datasets. The first model has been used as a baseline for comparison, while the other two ha…
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Feb 21, 2021 - Python
Performance Implications of Using Unrepresentative Corpora in Arabic Natural Language Processing.
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Jan 5, 2024 - Jupyter Notebook
Miniature reader of Wikipedia articles.
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Nov 30, 2023 - Python
Automatic fetch of Philosophers influence from Wikipedia and InPho and visualised as a network in Shiny app
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Feb 19, 2021 - R
DEPTH+ metric is an enhanced depth metric for Wikipedia corpora quality.
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Jul 25, 2023 - Jupyter Notebook
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