Natural language processing (NLP) is a subfield of computer science and especially artificial intelligence. It is primarily concerned with providing computers...

philosophy of language, a natural language or ordinary language is any language that occurs naturally in a human community by a process of use, repetition...

provided as an overview of and topical guide to natural-language processing: natural-language processing – computer activity in which computers are entailed...

The Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs for symbolic and statistical natural language processing (NLP)...

The history of natural language processing describes the advances of natural language processing. There is some overlap with the history of machine translation...

Empirical Methods in Natural Language Processing (EMNLP) is a leading conference in the area of natural language processing and artificial intelligence...

Quantum natural language processing (QNLP) is the application of quantum computing to natural language processing (NLP). It computes word embeddings as...

Natural language understanding (NLU) or natural language interpretation (NLI) is a subset of natural language processing in artificial intelligence that...

large language model (LLM) is a type of computational model designed for natural language processing tasks such as language generation. As language models...

versions of languages. Constructed language Knowledge representation and reasoning Natural language processing Controlled vocabulary Controlled language in machine...

varieties of ambiguous input. Natural-language interfaces are an active area of study in the field of natural-language processing and computational linguistics...

from Language Models with Automatically Generated Prompts". Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)...

large language model (LLM) is a type of computational model designed for natural language processing tasks such as language generation. As language models...

effort to integrate many artificial intelligence approaches (natural language processing, speech recognition, machine vision, probabilistic logic, planning...

an early example of a large language model. As of 2020[update], BERT is a ubiquitous baseline in natural language processing (NLP) experiments. BERT is...

intelligence or machine learning. Semantic decomposition is common in natural language processing applications. The basic idea of a semantic decomposition is taken...

Natural language generation (NLG) is a software process that produces natural language output. A widely-cited survey of NLG methods describes NLG as "the...

Language engineering involves the creation of natural language processing systems, whose cost and outputs are measurable and predictable.[citation needed]...

Natural-language programming (NLP) is an ontology-assisted way of programming in terms of natural-language sentences, e.g. English. A structured document...

or syntactic analysis is the process of analyzing a string of symbols, either in natural language, computer languages or data structures, conforming...

Studies in Natural Language Processing is the book series of the Association for Computational Linguistics, published by Cambridge University Press. Steven...

the brain Natural language processing Praxis (process), in philosophy, the process by which a theory or skill is enacted or realized Process (engineering)...

Fine-tuning is common in natural language processing (NLP), especially in the domain of language modeling. Large language models like OpenAI's series...

not considered to be within the scope of related terms such as natural language processing and (applied) computational linguistics, which are otherwise...

what language the user might speak. Thus, a central task involves the generalization of natural language processing (NLP) technology to other languages. As...

contributions to the field of artificial intelligence (AI) and natural language processing (NLP). He is one of the co-authors of the seminal paper "Attention...

often used as an evaluation task in natural language processing (NLP) to assess the performance of the trained language models. The tasks have a few different...

algorithm. Natural language processing can be used to create such a dataset. NLP is a way for a computer to analyze text and speech, process semantic and...

on attention mechanisms similar to those found in the area of Natural Language Processing. ViT models break down an image into smaller patches and apply...

impractical for PAL devices Many of the states are illegal In natural language processing, a one-hot vector is a 1 × N matrix (vector) used to distinguish...