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BookCorpus was chosen as a training dataset partly because the long passages of continuous text helped the model learn to handle long-range information. [6] It contained over 7,000 unpublished fiction books from various genres.
Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.
Artificial intelligence is a recurrent theme in science fiction, whether utopian, emphasising the potential benefits, or dystopian, emphasising the dangers.. The notion of machines with human-like intelligence dates back at least to Samuel Butler's 1872 novel Erewhon.
The term 'metafiction' was coined in 1970 by William H. Gass in his book Fiction and the Figures of Life. [11] Gass describes the increasing use of metafiction at the time as a result of authors developing a better understanding of the medium. This new understanding of the medium led to a major change in the approach toward fiction.
American science fiction author and editor Lester del Rey wrote, "Even the devoted aficionado or fan—has a hard time trying to explain what science fiction is," and the lack of a "full satisfactory definition" is because "there are no easily delineated limits to science fiction." [3] Another definition comes from The Literature Book by DK and ...
Klerykal fiction (rarely, klerykal fantasy and science fiction, [1] anti-klerykal fantasy and science fiction, [a] [3] also translated to English as clerical fiction [b] [3]) is a term for a subgenre of Polish speculative fiction and broader religious fiction that addresses Christian themes. The term was coined in the early 1990s.
Science Fiction Literature through History: An Encyclopedia is a 2021 reference work written by science fiction scholar Gary Westfahl and published by ABC-Clio/Greenwood.The book contains eight essays on the history of science fiction, eleven thematic essays on how different topics relate to science fiction, and 250 entries on various science fiction subgenres, authors, works, and motifs.
BERT is meant as a general pretrained model for various applications in natural language processing. That is, after pre-training, BERT can be fine-tuned with fewer resources on smaller datasets to optimize its performance on specific tasks such as natural language inference and text classification , and sequence-to-sequence-based language ...