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  2. Natural Language Processing (journal) - Wikipedia

    en.wikipedia.org/wiki/Natural_Language...

    Natural Language Processing is a bimonthly peer-reviewed academic journal published by Cambridge University Press which covers research and software in natural language processing. It was established in 1995 as Natural Language Engineering , obtaining its current title in 2024.

  3. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Natural Language Processing 2021 [114] Nguyen et al. PG-19: A set of books extracted from the Project Gutenberg books library Text Natural Language Processing 2019 Jack W et al. Deepmind Mathematics: Mathematical question and answer pairs. Text Natural Language Processing 2018 [115] D Saxton et al. Anna's Archive

  4. 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.

  5. Text corpus - Wikipedia

    en.wikipedia.org/wiki/Text_corpus

    Language technology, natural language processing, computational linguistics The analysis and processing of various types of corpora are also the subject of much work in computational linguistics , speech recognition and machine translation , where they are often used to create hidden Markov models for part of speech tagging and other purposes.

  6. UBY - Wikipedia

    en.wikipedia.org/wiki/UBY

    UBY-LMF [3] [4] is a format for standardizing lexical resources for Natural Language Processing (NLP). [5] UBY-LMF conforms to the ISO standard for lexicons: LMF, designed within the ISO-TC37, and constitutes a so-called serialization of this abstract standard. [6]

  7. Textual entailment - Wikipedia

    en.wikipedia.org/wiki/Textual_entailment

    Textual entailment measures natural language understanding as it asks for a semantic interpretation of the text, and due to its generality remains an active area of research. Many approaches and refinements of approaches have been considered, such as word embedding , logical models, graphical models, rule systems, contextual focusing, and ...

  8. Word embedding - Wikipedia

    en.wikipedia.org/wiki/Word_embedding

    In natural language processing, a word embedding is a representation of a word. The embedding is used in text analysis.Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way that the words that are closer in the vector space are expected to be similar in meaning. [1]

  9. 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.