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  2. General Architecture for Text Engineering - Wikipedia

    en.wikipedia.org/wiki/General_Architecture_for...

    General Architecture for Text Engineering (GATE) is a Java suite of natural language processing (NLP) tools for man tasks, including information extraction in many languages. [1] It is now used worldwide by a wide community of scientists, companies, teachers and students. It was originally developed at the University of Sheffield beginning in 1995.

  3. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    Word2vec was created, patented, [7] and published in 2013 by a team of researchers led by Mikolov at Google over two papers. [1] [2] The original paper was rejected by reviewers for ICLR conference 2013. It also took months for the code to be approved for open-sourcing. [8] Other researchers helped analyse and explain the algorithm. [4]

  4. Attention Is All You Need - Wikipedia

    en.wikipedia.org/wiki/Attention_Is_All_You_Need

    The paper introduced a new deep learning architecture known as the transformer, based on the attention mechanism proposed in 2014 by Bahdanau et al. [4] It is considered a foundational [5] paper in modern artificial intelligence, as the transformer approach has become the main architecture of large language models like those based on GPT.

  5. Natural language processing - Wikipedia

    en.wikipedia.org/wiki/Natural_language_processing

    Natural language processing (NLP) is a subfield of computer science and especially artificial intelligence.It is primarily concerned with providing computers with the ability to process data encoded in natural language and is thus closely related to information retrieval, knowledge representation and computational linguistics, a subfield of linguistics.

  6. BERT (language model) - Wikipedia

    en.wikipedia.org/wiki/BERT_(language_model)

    The original BERT paper published results demonstrating that a small amount of finetuning (for BERT LARGE, 1 hour on 1 Cloud TPU) allowed it to achieved state-of-the-art performance on a number of natural language understanding tasks: [1] GLUE (General Language Understanding Evaluation) task set (consisting of 9 tasks);

  7. Transformer (deep learning architecture) - Wikipedia

    en.wikipedia.org/wiki/Transformer_(deep_learning...

    writing computer code based on requirements expressed in natural language. speech-to-text; Beyond traditional NLP, the transformer architecture has had success in other applications, such as: biological sequence analysis; video understanding; protein folding (such as AlphaFold) evaluating chess board positions.

  8. Natural-language programming - Wikipedia

    en.wikipedia.org/wiki/Natural-language_programming

    Natural-language programming (NLP) is an ontology-assisted way of programming in terms of natural-language sentences, e.g. English. [1] A structured document with Content, sections and subsections for explanations of sentences forms a NLP document, which is actually a computer program. Natural language programming is not to be mixed up with ...

  9. Association for Computational Linguistics - Wikipedia

    en.wikipedia.org/wiki/Association_for...

    The Association for Computational Linguistics (ACL) is a scientific and professional organization for people working on natural language processing. [1] Its namesake conference is one of the primary high impact conferences for natural language processing research, along with EMNLP.