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Document AI, also known as Document Intelligence, refers to a field of technology that employs machine learning (ML) techniques, such as natural language processing (NLP). [1] These techniques are used to develop computer models capable of analyzing documents in a manner akin to human review.
Transkribus. Transkribus is a platform for the text recognition, image analysis and structure recognition of historical documents.. The platform was created in the context of the two EU projects "tranScriptorium" (2013–2015) [1] and "READ" (Recognition and Enrichment of Archival Documents – 2016–2019). [2]
Multi-document summarization is an automatic procedure aimed at extraction of information from multiple texts written about the same topic. Resulting summary report ...
Transformer architecture is now used in many generative models that contribute to the ongoing AI boom. In language modelling, ELMo (2018) was a bi-directional LSTM that produces contextualized word embeddings, improving upon the line of research from bag of words and word2vec. It was followed by BERT (2018), an encoder-only Transformer model. [33]
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Will Douglas Heaven of the MIT Technology Review called the demonstration videos "impressive", but noted that they must have been cherry-picked and may not be representative of Sora's typical output. [9] American academic Oren Etzioni expressed concerns over the technology's ability to create online disinformation for political campaigns. [5]
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