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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.
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.
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.
Download as PDF; Printable version; In other projects ... Journal of Chinese Information Processing; N. Natural Language Processing (journal) T.
Ruslan Mitkov is a professor at Lancaster University, and a researcher in Natural Language Processing and Computational Linguistics.He completed his PhD at Technical University of Dresden under the supervision of Nikolaus Joachim Lehmann.
In natural language processing, latent Dirichlet allocation (LDA) is a Bayesian network (and, therefore, a generative statistical model) for modeling automatically extracted topics in textual corpora. The LDA is an example of a Bayesian topic model. In this, observations (e.g., words) are collected into documents, and each word's presence is ...
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.
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 ...