doi.org/10.7717%2Fpeerj-cs.93
Recent advances in Natural Language Processing and Machine Learning provide us with the tools to build predictive models that can be used to unveil patterns driving judicial decisions. This can be useful, for both lawyers and judges, as an assisting tool to ra…
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aka.ms/raft-paper
Pretraining Large Language Models (LLMs) on large corpora of textual data is now a standard paradigm. When using these LLMs for many downstream applications, it is common to additionally bake in new knowledge (e.g., time-critical news, or private domain knowle…
doi.org/10.1007%2Fs12525-023-00680-1
Recent developments in the field of artificial intelligence (AI) have enabled new paradigms of machine processing, shifting from data-driven, discriminative AI tasks toward sophisticated, creative tasks through generative AI. Leveraging deep generative models,…
bit.ly/3LX0Izi?trk=organization_guest_main-feed-card-text
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en.wikipedia.org/wiki/Text-based_game
A text game or text-based game is an electronic game that uses a text-based user interface, that is, the user interface employs a set of encodable characters
en.wikipedia.org/wiki/Textron
Textron Inc. is an American industrial conglomerate based in Providence, Rhode Island. Textron's subsidiaries include Bell Textron, Kautex, Textron Aviation
arxiv.org/abs/2005.10433v3
We study the pre-train + fine-tune strategy for data-to-text tasks. Our experiments indicate that text-to-text pre-training in the form of T5, enables simple, end-to-end transformer based models to outperform pipelined neural architectures tailored f...
en.wikipedia.org/wiki/Online_text-based_role-playing_game
An online text-based role playing game is a role-playing game played online using a solely text-based interface. Online text-based role playing games date
arxiv.org/abs/2107.02003v1
Articulatory information has been shown to be effective in improving the performance of HMM-based and DNN-based text-to-speech synthesis. Speech synthesis research focuses traditionally on text-to-speech conversion, when the input is text or an estim...
arxiv.org/abs/2104.07225v2
The performance of text classification methods has improved greatly over the last decade for text instances of less than 512 tokens. This limit has been adopted by most state-of-the-research transformer models due to the high computational cost of an...