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  2. 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.

  3. Outline of natural language processing - Wikipedia

    en.wikipedia.org/wiki/Outline_of_natural...

    Natural-language processing is also the name of the branch of computer science, artificial intelligence, and linguistics concerned with enabling computers to engage in communication using natural language(s) in all forms, including but not limited to speech, print, writing, and signing.

  4. 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 .

  5. Information extraction - Wikipedia

    en.wikipedia.org/wiki/Information_extraction

    Machine Learning for Language Toolkit (Mallet) is a Java-based package for a variety of natural language processing tasks, including information extraction. DBpedia Spotlight is an open source tool in Java/Scala (and free web service) that can be used for named entity recognition and name resolution .

  6. Computational linguistics - Wikipedia

    en.wikipedia.org/wiki/Computational_linguistics

    Natural Language Processing with Python. O'Reilly Media. ISBN 978-0-596-51649-9. Daniel Jurafsky and James H. Martin (2008). Speech and Language Processing, 2nd edition. Pearson Prentice Hall. ISBN 978-0-13-187321-6. Mohamed Zakaria KURDI (2016). Natural Language Processing and Computational Linguistics: speech, morphology, and syntax, Volume 1 ...

  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. International Conference on Computational Linguistics and ...

    en.wikipedia.org/wiki/International_Conference...

    Unlike some other conferences on computational linguistics and natural language processing, such as those run by the Association for Computational Linguistics, CICLing does not release its main proceedings as Open Access, publishing them instead with Springer; however, most of its complementary proceedings, published as special issues of ...

  9. Semantic decomposition (natural language processing) - Wikipedia

    en.wikipedia.org/wiki/Semantic_decomposition...

    Semantic decomposition is common in natural language processing applications. The basic idea of a semantic decomposition is taken from the learning skills of adult humans, where words are explained using other words. It is based on Meaning-text theory. Meaning-text theory is used as a theoretical linguistic framework to describe the meaning of ...